diff --git a/README.md b/README.md index 696e5eb..bf3f36b 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,8 @@ # Chatbot-Using-Deep-Learning We use Keras, Tensorflow and NLTK to recognize the user's intent and generate the appropriate response. -## Getting Started + +## Getting Started (Console Chat): Create a virtual environment and install the requirements: `pip install -r requirements.txt` @@ -10,3 +11,37 @@ Run the application: `python chat.py` + + +## Intents Dataset: + + 1. **Greeting**: greetings to the user. + + 1. **GoodBye**: goodbyes to the user. + + 1. **ThankYou**: appreciation messages to the user. + + 1. **Success**: response to a successful action relayed by the user. + + 1. **About**: replies to messages about the chatbot. + + 1. **Name**: replies to messages about the chatbot's name. + + 1. **Help**: responses to a user's help request or request for more information on an issue. + + 1. **Assistance**: replies to a user's request for assistance. + + 1. **CreateAccount**: helps the user with creating an account. + + 1. **Login**: messages helping the user login. + + 1. **Password**: assistance with resetting a forgetten password. + + 1. **EmailChange**: helps a user with email address changes. + + 1. **EmailSupport**: gives the user an email for customer support. + + 1. **Payout**: provides information about vendor payouts. + + 1. **Complaint**: gives th user a place to complain. + diff --git a/chatbot/chat.py b/chatbot/chat.py index e034407..a629ee1 100644 --- a/chatbot/chat.py +++ b/chatbot/chat.py @@ -5,6 +5,8 @@ import numpy as np from tensorflow import keras +from database import add_interaction + colorama.init() from colorama import Fore, Style @@ -31,12 +33,18 @@ def chat(): # Event loop: while True: + # Console out user's input print(Fore.GREEN + "You: ", Style.RESET_ALL, end="") + # Store user_input = input() # Handle exit command: if (user_input.lower() in ['quit', 'exit', 'stop']): - print(Fore.LIGHTBLUE_EX + "Chatbot: Bye bye!" + Style.RESET_ALL) + # Add the interaction to the database: + add_interaction(user_input, 'Bye bye!') + # Console out the exit message: + print(Fore.LIGHTBLUE_EX + "Chatbot: " + Style.RESET_ALL, + "Bye bye!") break response = model.predict(keras.preprocessing.sequence.pad_sequences( @@ -48,8 +56,13 @@ def chat(): for i in data['intents']: if (i['tag'] == tag): - print(Fore.LIGHTBLUE_EX + "Chatbot:" + Style.RESET_ALL , - np.random.choice(i['responses'])) + # Pick a random response with the determined intent: + bot_response = np.random.choice(i['responses']) + # Add the interaction to the database: + add_interaction(user_input, bot_response) + # Console out the response: + print(Fore.LIGHTBLUE_EX + "Chatbot: " + Style.RESET_ALL, + bot_response) # Our driver code: diff --git a/chatbot/chat_model/saved_model.pb b/chatbot/chat_model/saved_model.pb index d20a8c4..78c19a0 100644 Binary files a/chatbot/chat_model/saved_model.pb and b/chatbot/chat_model/saved_model.pb differ diff --git a/chatbot/chat_model/variables/variables.data-00000-of-00001 b/chatbot/chat_model/variables/variables.data-00000-of-00001 index f9e22f1..194f883 100644 Binary files a/chatbot/chat_model/variables/variables.data-00000-of-00001 and b/chatbot/chat_model/variables/variables.data-00000-of-00001 differ diff --git a/chatbot/chat_model/variables/variables.index b/chatbot/chat_model/variables/variables.index index f3408ff..9844dd6 100644 Binary files a/chatbot/chat_model/variables/variables.index and b/chatbot/chat_model/variables/variables.index differ diff --git a/chatbot/database.py b/chatbot/database.py new file mode 100644 index 0000000..0fa81a9 --- /dev/null +++ b/chatbot/database.py @@ -0,0 +1,23 @@ +import mongoengine as db +from dotenv import load_dotenv +import os + + +class Interactions(db.Document): + user_message = db.StringField(required=True) + bot_response = db.StringField(required=True) + + +def add_interaction(user_message: str, bot_response: str) -> None: + try: + load_dotenv() + db.connect(host=os.environ.get('MONGO_HOST')) + interaction = Interactions( + user_message=user_message, bot_response=bot_response) + interaction.save() + + except Exception as e: + print(e) + + finally: + db.disconnect() diff --git a/chatbot/intents.json b/chatbot/intents.json index ee9dfbb..ec9938f 100644 --- a/chatbot/intents.json +++ b/chatbot/intents.json @@ -10,7 +10,7 @@ "responses": ["See you later", "Have a nice day", "Bye! Come back again", "Bye bye!", "Bye!", "Have a good one"] }, - {"tag": "thanks", + {"tag": "thankyou", "patterns": ["Thanks", "Thank you", "That's helpful", "Thanks for the help"], "responses": ["Happy to help!", "Any time!", "My pleasure", "No problem!", "You're welcome!"] }, @@ -22,7 +22,10 @@ {"tag": "about", "patterns": ["Who are you?", "What are you?", "Who you are?", "What's this"], - "responses": ["I'm Hashy, your chatbot assistant", "I'm Hashy, an Artificial Intelligent bot", "My name's Hashy. I'm an virtual assistant powered by AI.", "You can call me Hashy, your chatbot assistant."] + "responses": [ "I'm Hashy, your chatbot assistant", + "I'm Hashy, an Artificial Intelligent bot", + "My name's Hashy. I'm an virtual assistant powered by AI.", + "You can call me Hashy, your chatbot assistant."] }, {"tag": "name", @@ -31,8 +34,14 @@ }, {"tag": "help", - "patterns": ["Could you help me?", "give me a hand please", "Can you help?", "What can you do for me?", "I need a support", "I need a help", "support me please"], - "responses": ["Tell me how I can assist you", "Tell me your problem so that I can assist you", "Sure thing! How can I support you?"] + "patterns": ["Could you help me?", "give me a hand please", "Can you help?", "What can you do for me?", "I need a support", "I need a help", "support me please", "help me", "please help", + "I need some help", "help pls", "pls help me"], + "responses": [ "Tell me how I can assist you", + "Tell me your problem so that I can assist you", + "Sure thing! How can I support you?", + "How can I help you?", + "What can I assist you with?", + "What do you need? I'm here to help!"] }, {"tag": "assistance", @@ -42,21 +51,57 @@ {"tag": "createaccount", "patterns": ["I need to create a new account", "how to open a new account", "I want to create an account", "can you create an account for me", "how to open a new account"], - "responses": ["You can create a new account from the homepage of our website", "Just go to our website and follow the 'Sign Up' link to create a new account", "A new account can be created on our website. Just apply to get started."] + "responses": ["You can create a new account from the homepage of our website", + "Just go to our website and follow the 'Sign Up' link to create a new account", + "A new account can be created on our website. Just apply to get started."] }, {"tag": "login", - "patterns": ["I need to login", "I need help logging in", "how to login", "how to log in", "help login", "Help log in", "help logging in", "I want to login", "can you login for me", "how do I login", "I can't login", "It won't let me login", "It won't let me log in"], - "responses": ["You can login to our website from the homepage of our website", "Just go to our website and follow the 'Sign In' link to login", "Access you account using the 'Sign In' button from the homepage."] + "patterns": ["I need to login", "I need help logging in", "how to login", "how to log in", "help login", "Help log in", "help logging in", + "I want to login", "can you login for me", "how do I login", "I can't login", "It won't let me login", "It won't let me log in"], + "responses": [ "You can login to our website from the homepage of our website", + "Just go to our website and follow the 'Sign In' link to login", + "Access you account using the 'Sign In' button from the homepage."] }, {"tag": "password", - "patterns": ["I need to reset my password", "reset password", "help me reset password", "reset my password", "can you reset my password", "forgot password", "I forgot my password", "forgot my password", "forgot the password to my account"], - "responses": ["To reset your password use the 'Forgot Password?' link on the Sign In page.", "We can send you a password reset link. Simply hit 'Forgot Password?' on the login page."] + "patterns": ["I need to reset my password", "reset password", "help me reset password", "reset my password", "can you reset my password", + "forgot password", "I forgot my password", "forgot my password", "forgot the password to my account", + "how do I reset password"], + "responses": ["To reset your password use the 'Forgot Password?' link on the Sign In page.", + "We can send you a password reset link. Simply hit 'Forgot Password?' on the login page."] + }, + + {"tag": "emailchange", + "patterns": ["I need to reset my email", "reset email", "help me reset email", "help me reset my email", "reset my email", "can you reset my email", + "I forgot my email", "what email address did I sign up with?", "what is the email to my account?", "What's my account's email?", + "How do I change my email", "change my email", "change email", "change the email address to my account", "change my email address"], + "responses": ["We can change your email. Just email us at: support@email.com.", + "To make changes to your email you can email us at: support@email.com", + "Any account information can be handled by our support team. Shoot us an email at: support@email.com.", + "We'd be happy to help. Email us at support@email.com"] + }, + + {"tag": "emailsupport", + "patterns": ["what is your email?", "can I have your email", "what is your support email", "please provide support email", "support email", "I need your email", + "I need email", "I need your email address", "who should I email"], + "responses": ["We can offer you assistance at support@email.com", + "Our support team would be happy to assist you. Shoot us an email at: support@email.com", + "We can be contacted at support@email.com", "Contact us at: support@boutsy.com"] + }, + + {"tag": "payout", + "patterns": ["when do I get paid?", "When am I getting paid", "payout information", "I want to know about pay outs", + "how do I get paid", "I want paid", "pay me", "how to payouts work?", "how do you pay me?", "how do your pay people", + "how do they pay me", "I would like to know how I get paid"], + "responses": ["Vendors are paid at the end of each week to the payment method configured through bill.com. You will receive payment automatically once your account reaches a revenue of $250 or more. To request an early payout or for information regarding payments, please reach us at support@email.com."] }, {"tag": "complaint", "patterns": ["I have a complaint", "I want to file a complaint", "I have a complaint about a service", "I would like to file a complaint", "I'm here to complain"], - "responses": ["Please provide us your complaint in order to assist you", "Please mention your complaint. We will reach out to you to remedy any inconvenience caused.", "What complaint would you liek to file. We're always trying to improve."] + "responses": ["Please provide us your complaint in order to assist you", + "Please mention your complaint. We will reach out to you to remedy any inconvenience caused.", + "What complaint would you like to file. We're always trying to improve.", + "We're listening and we'll file your complaint with out customer experience team."] } ]} diff --git a/chatbot/label_encoder.pickle b/chatbot/label_encoder.pickle index 79cacc0..8180878 100644 Binary files a/chatbot/label_encoder.pickle and b/chatbot/label_encoder.pickle differ diff --git a/chatbot/tokenizer.pickle b/chatbot/tokenizer.pickle index 8ed5646..e1993e3 100644 Binary files a/chatbot/tokenizer.pickle and b/chatbot/tokenizer.pickle differ diff --git a/chatbot/trainer.ipynb b/chatbot/trainer.ipynb index 41ec6ce..f869cb6 100644 --- a/chatbot/trainer.ipynb +++ b/chatbot/trainer.ipynb @@ -2,17 +2,15 @@ "cells": [ { "cell_type": "code", - "execution_count": 28, + "execution_count": 10, "source": [ "import json\r\n", "import pickle\r\n", "\r\n", "import numpy as np\r\n", - "import tensorflow as tf\r\n", "from sklearn.preprocessing import LabelEncoder\r\n", + "from tensorflow.keras import layers\r\n", "from tensorflow import keras\r\n", - "from tensorflow.keras.layers import Dense, Embedding, GlobalAveragePooling1D\r\n", - "from tensorflow.keras.models import Sequential\r\n", "from tensorflow.keras.preprocessing.sequence import pad_sequences\r\n", "from tensorflow.keras.preprocessing.text import Tokenizer" ], @@ -21,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 11, "source": [ "# Load intents JSON file:\r\n", "with open(\"intents.json\") as json_file:\r\n", @@ -33,7 +31,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 12, "source": [ "# A place to store our training data:\r\n", "training_sentences = []\r\n", @@ -65,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 13, "source": [ "# Implement label encoding:\r\n", "label_encoder = LabelEncoder()\r\n", @@ -77,7 +75,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 14, "source": [ "# Vectorize the training data using Tokenization:\r\n", "vocabulary_size = 1000\r\n", @@ -98,17 +96,18 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 15, "source": [ "# Define Neural Network architecture:\r\n", - "model = Sequential()\r\n", - "model.add(Embedding(vocabulary_size,\r\n", - " embedding_dimension,\r\n", - " input_length=max_length))\r\n", - "model.add(GlobalAveragePooling1D())\r\n", - "model.add(Dense(32, activation='relu'))\r\n", - "model.add(Dense(32, activation='relu'))\r\n", - "model.add(Dense(num_classes, activation='softmax'))\r\n", + "model = keras.Sequential([\r\n", + " layers.Embedding(vocabulary_size,\r\n", + " embedding_dimension,\r\n", + " input_length=max_length),\r\n", + " layers.GlobalAveragePooling1D(),\r\n", + " layers.Dense(units=64, activation='relu'),\r\n", + " layers.Dense(units=64, activation='relu'),\r\n", + " layers.Dense(units=num_classes, activation='softmax')\r\n", + "])\r\n", "\r\n", "model.compile(loss='sparse_categorical_crossentropy',\r\n", " optimizer='adam',\r\n", @@ -119,7 +118,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 16, "source": [ "model.summary()\r\n" ], @@ -128,22 +127,22 @@ "output_type": "stream", "name": "stdout", "text": [ - "Model: \"sequential_3\"\n", + "Model: \"sequential_1\"\n", "_________________________________________________________________\n", "Layer (type) Output Shape Param # \n", "=================================================================\n", - "embedding_3 (Embedding) (None, 20, 16) 16000 \n", + "embedding_1 (Embedding) (None, 20, 16) 16000 \n", "_________________________________________________________________\n", - "global_average_pooling1d_3 ( (None, 16) 0 \n", + "global_average_pooling1d_1 ( (None, 16) 0 \n", "_________________________________________________________________\n", - "dense_9 (Dense) (None, 32) 544 \n", + "dense_3 (Dense) (None, 64) 1088 \n", "_________________________________________________________________\n", - "dense_10 (Dense) (None, 32) 1056 \n", + "dense_4 (Dense) (None, 64) 4160 \n", "_________________________________________________________________\n", - "dense_11 (Dense) (None, 12) 396 \n", + "dense_5 (Dense) (None, 15) 975 \n", "=================================================================\n", - "Total params: 17,996\n", - "Trainable params: 17,996\n", + "Total params: 22,223\n", + "Trainable params: 22,223\n", "Non-trainable params: 0\n", "_________________________________________________________________\n" ] @@ -153,9 +152,9 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 17, "source": [ - "epochs = 500\r\n", + "epochs = 400\r\n", "history = model.fit(padded_sequences,\r\n", " np.array(training_labels),\r\n", " epochs=epochs,\r\n", @@ -166,1006 +165,806 @@ "output_type": "stream", "name": "stdout", "text": [ - "Epoch 1/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.4843 - accuracy: 0.0787\n", - "Epoch 2/500\n", - "3/3 [==============================] - 0s 662us/step - loss: 2.4815 - accuracy: 0.1461\n", - "Epoch 3/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4795 - accuracy: 0.1461\n", - "Epoch 4/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.4773 - accuracy: 0.1461\n", - "Epoch 5/500\n", - "3/3 [==============================] - 0s 662us/step - loss: 2.4756 - accuracy: 0.1461\n", - "Epoch 6/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4734 - accuracy: 0.1461\n", - "Epoch 7/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4713 - accuracy: 0.1461\n", - "Epoch 8/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4692 - accuracy: 0.1461\n", - "Epoch 9/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.4668 - accuracy: 0.1461\n", - "Epoch 10/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.4648 - accuracy: 0.1461\n", - "Epoch 11/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.4619 - accuracy: 0.1461\n", - "Epoch 12/500\n", - "3/3 [==============================] - 0s 675us/step - loss: 2.4593 - accuracy: 0.1461\n", - "Epoch 13/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4567 - accuracy: 0.1910\n", - "Epoch 14/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4535 - accuracy: 0.2809\n", - "Epoch 15/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4506 - accuracy: 0.2809\n", - "Epoch 16/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.4472 - accuracy: 0.2809\n", - "Epoch 17/500\n", - "3/3 [==============================] - 0s 992us/step - loss: 2.4435 - accuracy: 0.2809\n", - "Epoch 18/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4399 - accuracy: 0.2809\n", - "Epoch 19/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4357 - accuracy: 0.2584\n", - "Epoch 20/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.4316 - accuracy: 0.2584\n", - "Epoch 21/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.4273 - accuracy: 0.2584\n", - "Epoch 22/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.4221 - accuracy: 0.2584\n", - "Epoch 23/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.4178 - accuracy: 0.2584\n", - "Epoch 24/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.4127 - accuracy: 0.2360\n", - "Epoch 25/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4072 - accuracy: 0.2472\n", - "Epoch 26/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.4020 - accuracy: 0.2360\n", - "Epoch 27/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.3962 - accuracy: 0.1685\n", - "Epoch 28/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.3911 - accuracy: 0.1461\n", - "Epoch 29/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.3857 - accuracy: 0.1573\n", - "Epoch 30/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.3800 - accuracy: 0.1461\n", - "Epoch 31/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.3741 - accuracy: 0.1348\n", - "Epoch 32/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.3688 - accuracy: 0.1348\n", - "Epoch 33/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.3627 - accuracy: 0.1348\n", - "Epoch 34/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.3568 - accuracy: 0.1348\n", - "Epoch 35/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.3511 - accuracy: 0.1348\n", - "Epoch 36/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.3439 - accuracy: 0.1348\n", - "Epoch 37/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.3394 - accuracy: 0.1348\n", - "Epoch 38/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.3323 - accuracy: 0.1348\n", - "Epoch 39/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.3261 - accuracy: 0.1348\n", - "Epoch 40/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.3203 - accuracy: 0.1348\n", - "Epoch 41/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.3138 - accuracy: 0.1461\n", - "Epoch 42/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.3067 - accuracy: 0.1573\n", - "Epoch 43/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.3001 - accuracy: 0.1685\n", - "Epoch 44/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.2935 - accuracy: 0.1685\n", - "Epoch 45/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.2862 - accuracy: 0.2135\n", - "Epoch 46/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.2792 - accuracy: 0.2247\n", - "Epoch 47/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.2716 - accuracy: 0.2360\n", - "Epoch 48/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.2635 - accuracy: 0.2472\n", - "Epoch 49/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.2566 - accuracy: 0.2472\n", - "Epoch 50/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.2468 - accuracy: 0.2697\n", - "Epoch 51/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.2383 - accuracy: 0.2697\n", - "Epoch 52/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.2292 - accuracy: 0.2697\n", - "Epoch 53/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.2196 - accuracy: 0.2697\n", - "Epoch 54/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.2100 - accuracy: 0.2697\n", - "Epoch 55/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.2000 - accuracy: 0.2697\n", - "Epoch 56/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.1896 - accuracy: 0.2697\n", - "Epoch 57/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.1787 - accuracy: 0.2697\n", - "Epoch 58/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 2.1681 - accuracy: 0.2697\n", - "Epoch 59/500\n", - "3/3 [==============================] - 0s 995us/step - loss: 2.1568 - accuracy: 0.2697\n", - "Epoch 60/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.1458 - accuracy: 0.2697\n", - "Epoch 61/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.1343 - accuracy: 0.2247\n", - "Epoch 62/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.1221 - accuracy: 0.2247\n", - "Epoch 63/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.1098 - accuracy: 0.2360\n", - "Epoch 64/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 2.0968 - accuracy: 0.2584\n", - "Epoch 65/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 2.0842 - accuracy: 0.2697\n", - "Epoch 66/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.0714 - accuracy: 0.2809\n", - "Epoch 67/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 2.0585 - accuracy: 0.2809\n", - "Epoch 68/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 2.0431 - accuracy: 0.2809\n", - "Epoch 69/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.0283 - accuracy: 0.2921\n", - "Epoch 70/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 2.0134 - accuracy: 0.3034\n", - "Epoch 71/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 1.9972 - accuracy: 0.3371\n", - "Epoch 72/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.9813 - accuracy: 0.3483\n", - "Epoch 73/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.9649 - accuracy: 0.3820\n", - "Epoch 74/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.9488 - accuracy: 0.4045\n", - "Epoch 75/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.9316 - accuracy: 0.4157\n", - "Epoch 76/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 1.9152 - accuracy: 0.4157\n", - 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"Epoch 95/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.5505 - accuracy: 0.5169\n", - "Epoch 96/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.5288 - accuracy: 0.5056\n", - "Epoch 97/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.5081 - accuracy: 0.5281\n", - "Epoch 98/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 1.4864 - accuracy: 0.5506\n", - "Epoch 99/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.4653 - accuracy: 0.5618\n", - "Epoch 100/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.4456 - accuracy: 0.5618\n", - "Epoch 101/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 1.4245 - accuracy: 0.5618\n", - "Epoch 102/500\n", - "3/3 [==============================] - 0s 994us/step - loss: 1.4039 - accuracy: 0.5730\n", - "Epoch 103/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.3838 - accuracy: 0.5843\n", - "Epoch 104/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 1.3618 - accuracy: 0.5843\n", - "Epoch 105/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.3422 - accuracy: 0.5843\n", - "Epoch 106/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.3203 - accuracy: 0.5955\n", - "Epoch 107/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 1.3006 - accuracy: 0.5955\n", - "Epoch 108/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.2783 - accuracy: 0.5843\n", - "Epoch 109/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.2571 - accuracy: 0.5955\n", - "Epoch 110/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.2362 - accuracy: 0.6067\n", - "Epoch 111/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 1.2153 - accuracy: 0.6067\n", - "Epoch 112/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.1939 - accuracy: 0.6067\n", - "Epoch 113/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 1.1732 - accuracy: 0.6517\n", - "Epoch 114/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 1.1505 - accuracy: 0.6966\n", - "Epoch 115/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 1.1296 - accuracy: 0.7079\n", - "Epoch 116/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.1088 - accuracy: 0.7303\n", - "Epoch 117/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 1.0884 - accuracy: 0.7416\n", - "Epoch 118/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.0672 - accuracy: 0.7865\n", - "Epoch 119/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 1.0481 - accuracy: 0.7978\n", - "Epoch 120/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 1.0259 - accuracy: 0.7978\n", - "Epoch 121/500\n", - "3/3 [==============================] - 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0s 1ms/step - loss: 0.1818 - accuracy: 0.9888\n", - "Epoch 212/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.1782 - accuracy: 0.9888\n", - "Epoch 213/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.1762 - accuracy: 0.9888\n", - "Epoch 214/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1728 - accuracy: 0.9888\n", - "Epoch 215/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1694 - accuracy: 0.9888\n", - "Epoch 216/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1661 - accuracy: 0.9888\n", - "Epoch 217/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1638 - accuracy: 0.9888\n", - "Epoch 218/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1612 - accuracy: 0.9888\n", - "Epoch 219/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.1585 - accuracy: 0.9888\n", - "Epoch 220/500\n", - "3/3 [==============================] - 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0s 1ms/step - loss: 0.1338 - accuracy: 0.9888\n", - "Epoch 230/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1310 - accuracy: 0.9888\n", - "Epoch 231/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1290 - accuracy: 0.9888\n", - "Epoch 232/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1268 - accuracy: 0.9888\n", - "Epoch 233/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1246 - accuracy: 0.9775\n", - "Epoch 234/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1226 - accuracy: 0.9888\n", - "Epoch 235/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1211 - accuracy: 0.9888\n", - "Epoch 236/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1186 - accuracy: 0.9888\n", - "Epoch 237/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1165 - accuracy: 0.9888\n", - "Epoch 238/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1156 - accuracy: 0.9775\n", - "Epoch 239/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1130 - accuracy: 0.9888\n", - "Epoch 240/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1114 - accuracy: 0.9888\n", - "Epoch 241/500\n", - "3/3 [==============================] - 0s 999us/step - loss: 0.1101 - accuracy: 0.9888\n", - "Epoch 242/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.1080 - accuracy: 0.9888\n", - "Epoch 243/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.1058 - accuracy: 0.9888\n", - "Epoch 244/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1051 - accuracy: 0.9775\n", - "Epoch 245/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.1031 - accuracy: 0.9888\n", - "Epoch 246/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.1015 - accuracy: 0.9888\n", - "Epoch 247/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.1000 - accuracy: 0.9888\n", - "Epoch 248/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0987 - accuracy: 0.9888\n", - "Epoch 249/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0968 - accuracy: 0.9888\n", - "Epoch 250/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0957 - accuracy: 0.9888\n", - "Epoch 251/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0942 - accuracy: 0.9888\n", - "Epoch 252/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0930 - accuracy: 0.9888\n", - "Epoch 253/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0918 - accuracy: 0.9888\n", - "Epoch 254/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0901 - accuracy: 0.9888\n", - "Epoch 255/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0888 - accuracy: 0.9888\n", - "Epoch 256/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0879 - accuracy: 0.9888\n", - "Epoch 257/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0863 - accuracy: 0.9888\n", - "Epoch 258/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0854 - accuracy: 0.9888\n", - "Epoch 259/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0842 - accuracy: 0.9888\n", - "Epoch 260/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0833 - accuracy: 0.9888\n", - "Epoch 261/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0820 - accuracy: 0.9888\n", - "Epoch 262/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0811 - accuracy: 0.9775\n", - "Epoch 263/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0796 - accuracy: 0.9888\n", - "Epoch 264/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0795 - accuracy: 0.9775\n", - "Epoch 265/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0775 - accuracy: 0.9888\n", - "Epoch 266/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0768 - accuracy: 0.9888\n", - "Epoch 267/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0758 - accuracy: 0.9888\n", - "Epoch 268/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0748 - accuracy: 0.9888\n", - "Epoch 269/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0737 - accuracy: 0.9888\n", - "Epoch 270/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0732 - accuracy: 0.9888\n", - "Epoch 271/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0723 - accuracy: 0.9888\n", - "Epoch 272/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0717 - accuracy: 0.9775\n", - "Epoch 273/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0706 - accuracy: 0.9888\n", - "Epoch 274/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0704 - accuracy: 0.9775\n", - "Epoch 275/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0687 - accuracy: 0.9888\n", - "Epoch 276/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0683 - accuracy: 0.9888\n", - "Epoch 277/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0680 - accuracy: 0.9888\n", - "Epoch 278/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0675 - accuracy: 0.9888\n", - "Epoch 279/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0660 - accuracy: 0.9888\n", - "Epoch 280/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0654 - accuracy: 0.9888\n", - "Epoch 281/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0652 - accuracy: 0.9775\n", - "Epoch 282/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0635 - accuracy: 0.9888\n", - "Epoch 283/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0633 - accuracy: 0.9888\n", - "Epoch 284/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0627 - accuracy: 0.9775\n", - "Epoch 285/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0618 - accuracy: 0.9888\n", - "Epoch 286/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0613 - accuracy: 0.9888\n", - "Epoch 287/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0602 - accuracy: 0.9888\n", - "Epoch 288/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0601 - accuracy: 0.9888\n", - "Epoch 289/500\n", - "3/3 [==============================] - 0s 999us/step - loss: 0.0595 - accuracy: 0.9888\n", - "Epoch 290/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0583 - accuracy: 0.9888\n", - "Epoch 291/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0581 - accuracy: 0.9888\n", - "Epoch 292/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0575 - accuracy: 0.9888\n", - "Epoch 293/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0577 - accuracy: 0.9888\n", - "Epoch 294/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0565 - accuracy: 0.9888\n", - "Epoch 295/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0558 - accuracy: 0.9888\n", - "Epoch 296/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0549 - accuracy: 0.9888\n", - "Epoch 297/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0553 - accuracy: 0.9888\n", - "Epoch 298/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0541 - accuracy: 0.9888\n", - "Epoch 299/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0534 - accuracy: 0.9888\n", - "Epoch 300/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0537 - accuracy: 0.9888\n", - "Epoch 301/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0527 - accuracy: 0.9888\n", - "Epoch 302/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0521 - accuracy: 0.9888\n", - "Epoch 303/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0517 - accuracy: 0.9888\n", - "Epoch 304/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0513 - accuracy: 0.9888\n", - "Epoch 305/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0508 - accuracy: 0.9888\n", - "Epoch 306/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0507 - accuracy: 0.9888\n", - "Epoch 307/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0497 - accuracy: 0.9888\n", - "Epoch 308/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0503 - accuracy: 0.9775\n", - "Epoch 309/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0494 - accuracy: 0.9775\n", - "Epoch 310/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0486 - accuracy: 0.9888\n", - "Epoch 311/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0481 - accuracy: 0.9888\n", - "Epoch 312/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0478 - accuracy: 0.9888\n", - "Epoch 313/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0477 - accuracy: 0.9888\n", - "Epoch 314/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0470 - accuracy: 0.9888\n", - "Epoch 315/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0470 - accuracy: 0.9888\n", - "Epoch 316/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0464 - accuracy: 0.9888\n", - "Epoch 317/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0470 - accuracy: 0.9888\n", - "Epoch 318/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0455 - accuracy: 0.9888\n", - "Epoch 319/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0450 - accuracy: 0.9888\n", - "Epoch 320/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0452 - accuracy: 0.9888\n", - "Epoch 321/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0448 - accuracy: 0.9775\n", - "Epoch 322/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0440 - accuracy: 0.9888\n", - "Epoch 323/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0442 - accuracy: 0.9888\n", - "Epoch 324/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0435 - accuracy: 0.9888\n", - "Epoch 325/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0430 - accuracy: 0.9888\n", - "Epoch 326/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0433 - accuracy: 0.9888\n", - "Epoch 327/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0427 - accuracy: 0.9888\n", - "Epoch 328/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0422 - accuracy: 0.9888\n", - "Epoch 329/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0424 - accuracy: 0.9888\n", - "Epoch 330/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0417 - accuracy: 0.9888\n", - "Epoch 331/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0412 - accuracy: 0.9888\n", - "Epoch 332/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0411 - accuracy: 0.9888\n", - "Epoch 333/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0409 - accuracy: 0.9888\n", - "Epoch 334/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0410 - accuracy: 0.9888\n", - "Epoch 335/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0402 - accuracy: 0.9888\n", - "Epoch 336/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0405 - accuracy: 0.9888\n", - "Epoch 337/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0402 - accuracy: 0.9888\n", - "Epoch 338/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0395 - accuracy: 0.9888\n", - "Epoch 339/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0391 - accuracy: 0.9888\n", - "Epoch 340/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0391 - accuracy: 0.9888\n", - "Epoch 341/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0386 - accuracy: 0.9888\n", - "Epoch 342/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0387 - accuracy: 0.9888\n", - "Epoch 343/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0386 - accuracy: 0.9888\n", - "Epoch 344/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0382 - accuracy: 0.9888\n", - "Epoch 345/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0381 - accuracy: 0.9888\n", - "Epoch 346/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0376 - accuracy: 0.9888\n", - "Epoch 347/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0372 - accuracy: 0.9888\n", - "Epoch 348/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0371 - accuracy: 0.9888\n", - "Epoch 349/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0376 - accuracy: 0.9888\n", - "Epoch 350/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0374 - accuracy: 0.9888\n", - "Epoch 351/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0365 - accuracy: 0.9888\n", - "Epoch 352/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0362 - accuracy: 0.9888\n", - "Epoch 353/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0365 - accuracy: 0.9888\n", - "Epoch 354/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0358 - accuracy: 0.9888\n", - "Epoch 355/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0355 - accuracy: 0.9888\n", - "Epoch 356/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0358 - accuracy: 0.9775\n", - "Epoch 357/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0351 - accuracy: 0.9888\n", - "Epoch 358/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0349 - accuracy: 0.9888\n", - "Epoch 359/500\n", - "3/3 [==============================] - 0s 664us/step - loss: 0.0352 - accuracy: 0.9888\n", - "Epoch 360/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0345 - accuracy: 0.9888\n", - "Epoch 361/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0355 - accuracy: 0.9775\n", - "Epoch 362/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0343 - accuracy: 0.9888\n", - "Epoch 363/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0340 - accuracy: 0.9888\n", - "Epoch 364/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0344 - accuracy: 0.9888\n", - "Epoch 365/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0344 - accuracy: 0.9888\n", - "Epoch 366/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0336 - accuracy: 0.9888\n", - "Epoch 367/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0339 - accuracy: 0.9775\n", - "Epoch 368/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0336 - accuracy: 0.9775\n", - "Epoch 369/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0330 - accuracy: 0.9888\n", - "Epoch 370/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0332 - accuracy: 0.9775\n", - "Epoch 371/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0333 - accuracy: 0.9888\n", - "Epoch 372/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0328 - accuracy: 0.9888\n", - "Epoch 373/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0328 - accuracy: 0.9888\n", - "Epoch 374/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0322 - accuracy: 0.9888\n", - "Epoch 375/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0324 - accuracy: 0.9775\n", - "Epoch 376/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0319 - accuracy: 0.9888\n", - "Epoch 377/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0317 - accuracy: 0.9888\n", - "Epoch 378/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0316 - accuracy: 0.9888\n", - "Epoch 379/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0321 - accuracy: 0.9775\n", - "Epoch 380/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0314 - accuracy: 0.9888\n", - "Epoch 381/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0315 - accuracy: 0.9888\n", - "Epoch 382/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0311 - accuracy: 0.9888\n", - "Epoch 383/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0311 - accuracy: 0.9888\n", - "Epoch 384/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0314 - accuracy: 0.9888\n", - "Epoch 385/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0313 - accuracy: 0.9888\n", - "Epoch 386/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0306 - accuracy: 0.9888\n", - "Epoch 387/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0311 - accuracy: 0.9775\n", - "Epoch 388/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0309 - accuracy: 0.9775\n", - "Epoch 389/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0303 - accuracy: 0.9775\n", - "Epoch 390/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0306 - accuracy: 0.9888\n", - "Epoch 391/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0300 - accuracy: 0.9888\n", - "Epoch 392/500\n", - "3/3 [==============================] - 0s 667us/step - loss: 0.0308 - accuracy: 0.9775\n", - "Epoch 393/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0299 - accuracy: 0.9888\n", - "Epoch 394/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0298 - accuracy: 0.9888\n", - "Epoch 395/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0294 - accuracy: 0.9888\n", - "Epoch 396/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0299 - accuracy: 0.9888\n", - "Epoch 397/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0296 - accuracy: 0.9888\n", - "Epoch 398/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0291 - accuracy: 0.9888\n", - "Epoch 399/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0295 - accuracy: 0.9888\n", - "Epoch 400/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0293 - accuracy: 0.9888\n", - "Epoch 401/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0288 - accuracy: 0.9888\n", - "Epoch 402/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0286 - accuracy: 0.9888\n", - "Epoch 403/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0288 - accuracy: 0.9888\n", - "Epoch 404/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0284 - accuracy: 0.9888\n", - "Epoch 405/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0284 - accuracy: 0.9888\n", - "Epoch 406/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0287 - accuracy: 0.9888\n", - "Epoch 407/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0284 - accuracy: 0.9888\n", - "Epoch 408/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0281 - accuracy: 0.9888\n", - "Epoch 409/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0281 - accuracy: 0.9888\n", - "Epoch 410/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0283 - accuracy: 0.9888\n", - "Epoch 411/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0281 - accuracy: 0.9888\n", - "Epoch 412/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0278 - accuracy: 0.9888\n", - "Epoch 413/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0277 - accuracy: 0.9888\n", - "Epoch 414/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0286 - accuracy: 0.9888\n", - "Epoch 415/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0277 - accuracy: 0.9888\n", - "Epoch 416/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0279 - accuracy: 0.9888\n", - "Epoch 417/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0278 - accuracy: 0.9888\n", - "Epoch 418/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0275 - accuracy: 0.9888\n", - "Epoch 419/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0273 - accuracy: 0.9888\n", - "Epoch 420/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0270 - accuracy: 0.9888\n", - "Epoch 421/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0270 - accuracy: 0.9888\n", - "Epoch 422/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0268 - accuracy: 0.9888\n", - "Epoch 423/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0276 - accuracy: 0.9888\n", - "Epoch 424/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0273 - accuracy: 0.9888\n", - "Epoch 425/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0274 - accuracy: 0.9888\n", - "Epoch 426/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0263 - accuracy: 0.9888\n", - "Epoch 427/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0264 - accuracy: 0.9888\n", - "Epoch 428/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0267 - accuracy: 0.9888\n", - "Epoch 429/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0272 - accuracy: 0.9888\n", - "Epoch 430/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0275 - accuracy: 0.9775\n", - "Epoch 431/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0264 - accuracy: 0.9775\n", - "Epoch 432/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0259 - accuracy: 0.9888\n", - "Epoch 433/500\n", - "3/3 [==============================] - 0s 819us/step - loss: 0.0267 - accuracy: 0.9775\n", - "Epoch 434/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0260 - accuracy: 0.9888\n", - "Epoch 435/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0257 - accuracy: 0.9888\n", - "Epoch 436/500\n", - "3/3 [==============================] - 0s 666us/step - loss: 0.0265 - accuracy: 0.9888\n", - "Epoch 437/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0259 - accuracy: 0.9888\n", - "Epoch 438/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0258 - accuracy: 0.9888\n", - "Epoch 439/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0254 - accuracy: 0.9888\n", - "Epoch 440/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0253 - accuracy: 0.9888\n", - "Epoch 441/500\n", - "3/3 [==============================] - 0s 999us/step - loss: 0.0257 - accuracy: 0.9775\n", - "Epoch 442/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0252 - accuracy: 0.9888\n", - "Epoch 443/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0257 - accuracy: 0.9888\n", - "Epoch 444/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0251 - accuracy: 0.9888\n", - "Epoch 445/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0252 - accuracy: 0.9888\n", - "Epoch 446/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0254 - accuracy: 0.9888\n", - "Epoch 447/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0250 - accuracy: 0.9888\n", - "Epoch 448/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0264 - accuracy: 0.9888\n", - "Epoch 449/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0255 - accuracy: 0.9888\n", - "Epoch 450/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0249 - accuracy: 0.9888\n", - "Epoch 451/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0246 - accuracy: 0.9888\n", - "Epoch 452/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0245 - accuracy: 0.9888\n", - "Epoch 453/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0249 - accuracy: 0.9888\n", - "Epoch 454/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0258 - accuracy: 0.9888\n", - "Epoch 455/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0263 - accuracy: 0.9888\n", - "Epoch 456/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0247 - accuracy: 0.9888\n", - "Epoch 457/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0251 - accuracy: 0.9775\n", - "Epoch 458/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0242 - accuracy: 0.9888\n", - "Epoch 459/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0249 - accuracy: 0.9775\n", - "Epoch 460/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0247 - accuracy: 0.9888\n", - "Epoch 461/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0241 - accuracy: 0.9888\n", - "Epoch 462/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0240 - accuracy: 0.9888\n", - "Epoch 463/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0239 - accuracy: 0.9888\n", - "Epoch 464/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0242 - accuracy: 0.9888\n", - "Epoch 465/500\n", - "3/3 [==============================] - 0s 996us/step - loss: 0.0245 - accuracy: 0.9775\n", - "Epoch 466/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0245 - accuracy: 0.9888\n", - "Epoch 467/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0239 - accuracy: 0.9888\n", - "Epoch 468/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0240 - accuracy: 0.9888\n", - "Epoch 469/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0236 - accuracy: 0.9888\n", - "Epoch 470/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0244 - accuracy: 0.9888\n", - "Epoch 471/500\n", - "3/3 [==============================] - 0s 995us/step - loss: 0.0237 - accuracy: 0.9888\n", - "Epoch 472/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0238 - accuracy: 0.9888\n", - "Epoch 473/500\n", - "3/3 [==============================] - 0s 1000us/step - loss: 0.0249 - accuracy: 0.9775\n", - "Epoch 474/500\n", - "3/3 [==============================] - 0s 666us/step - loss: 0.0244 - accuracy: 0.9775\n", - "Epoch 475/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0239 - accuracy: 0.9775\n", - "Epoch 476/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0237 - accuracy: 0.9888\n", - "Epoch 477/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0232 - accuracy: 0.9888\n", - "Epoch 478/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0234 - accuracy: 0.9775\n", - "Epoch 479/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0231 - accuracy: 0.9888\n", - "Epoch 480/500\n", - "3/3 [==============================] - 0s 1ms/step - loss: 0.0236 - accuracy: 0.9888\n", - "Epoch 481/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0231 - accuracy: 0.9888\n", - "Epoch 482/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0232 - accuracy: 0.9888\n", - "Epoch 483/500\n", - "3/3 [==============================] - 0s 666us/step - loss: 0.0235 - accuracy: 0.9888\n", - "Epoch 484/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0231 - accuracy: 0.9888\n", - "Epoch 485/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0228 - accuracy: 0.9888\n", - "Epoch 486/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0229 - accuracy: 0.9888\n", - "Epoch 487/500\n", - "3/3 [==============================] - 0s 666us/step - loss: 0.0238 - accuracy: 0.9888\n", - "Epoch 488/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0232 - accuracy: 0.9888\n", - "Epoch 489/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0235 - accuracy: 0.9888\n", - "Epoch 490/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0226 - accuracy: 0.9888\n", - "Epoch 491/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0226 - accuracy: 0.9888\n", - "Epoch 492/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0229 - accuracy: 0.9888\n", - "Epoch 493/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0228 - accuracy: 0.9888\n", - "Epoch 494/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0232 - accuracy: 0.9888\n", - "Epoch 495/500\n", - "3/3 [==============================] - 0s 998us/step - loss: 0.0237 - accuracy: 0.9888\n", - "Epoch 496/500\n", - "3/3 [==============================] - 0s 2ms/step - loss: 0.0229 - accuracy: 0.9888\n", - "Epoch 497/500\n", - "3/3 [==============================] - 0s 664us/step - loss: 0.0228 - accuracy: 0.9888\n", - "Epoch 498/500\n", - "3/3 [==============================] - 0s 665us/step - loss: 0.0223 - accuracy: 0.9888\n", - "Epoch 499/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0222 - accuracy: 0.9888\n", - "Epoch 500/500\n", - "3/3 [==============================] - 0s 997us/step - loss: 0.0231 - accuracy: 0.9888\n" + "Epoch 1/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.7084 - accuracy: 0.0763\n", + "Epoch 2/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.7038 - accuracy: 0.0916\n", + "Epoch 3/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.7008 - accuracy: 0.1221\n", + "Epoch 4/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6979 - accuracy: 0.1069\n", + "Epoch 5/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6941 - accuracy: 0.0992\n", + "Epoch 6/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.6904 - accuracy: 0.0992\n", + "Epoch 7/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6860 - accuracy: 0.0992\n", + "Epoch 8/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6812 - accuracy: 0.0992\n", + "Epoch 9/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6746 - accuracy: 0.0992\n", + "Epoch 10/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6681 - accuracy: 0.0992\n", + "Epoch 11/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6606 - accuracy: 0.0992\n", + "Epoch 12/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6532 - accuracy: 0.1221\n", + "Epoch 13/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6434 - accuracy: 0.1679\n", + "Epoch 14/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6344 - accuracy: 0.1985\n", + "Epoch 15/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6265 - accuracy: 0.2061\n", + "Epoch 16/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6200 - accuracy: 0.1145\n", + "Epoch 17/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.6118 - accuracy: 0.1145\n", + "Epoch 18/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.6056 - accuracy: 0.1145\n", + "Epoch 19/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5982 - accuracy: 0.1145\n", + "Epoch 20/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 2.5915 - accuracy: 0.1603\n", + "Epoch 21/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5869 - accuracy: 0.1756\n", + "Epoch 22/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.5824 - accuracy: 0.0992\n", + "Epoch 23/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5773 - accuracy: 0.0992\n", + "Epoch 24/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5759 - accuracy: 0.1450\n", + "Epoch 25/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5706 - accuracy: 0.2061\n", + "Epoch 26/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.5674 - accuracy: 0.1450\n", + "Epoch 27/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.5617 - accuracy: 0.1145\n", + "Epoch 28/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5562 - accuracy: 0.1679\n", + "Epoch 29/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.5501 - accuracy: 0.2672\n", + "Epoch 30/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5419 - accuracy: 0.2595\n", + "Epoch 31/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5355 - accuracy: 0.2061\n", + "Epoch 32/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5266 - accuracy: 0.1679\n", + "Epoch 33/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.5160 - accuracy: 0.2061\n", + "Epoch 34/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5061 - accuracy: 0.2824\n", + "Epoch 35/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.5009 - accuracy: 0.2366\n", + "Epoch 36/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.4940 - accuracy: 0.2061\n", + "Epoch 37/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.4815 - accuracy: 0.2901\n", + "Epoch 38/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.4656 - accuracy: 0.2214\n", + "Epoch 39/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.4592 - accuracy: 0.1985\n", + "Epoch 40/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.4522 - accuracy: 0.1756\n", + "Epoch 41/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.4394 - accuracy: 0.1832\n", + "Epoch 42/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 2.4123 - accuracy: 0.1908\n", + "Epoch 43/400\n", + "5/5 [==============================] - 0s 996us/step - loss: 2.3931 - accuracy: 0.2137\n", + "Epoch 44/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.3816 - accuracy: 0.2137\n", + "Epoch 45/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 2.3587 - accuracy: 0.2137\n", + "Epoch 46/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.3310 - accuracy: 0.2137\n", + "Epoch 47/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.3065 - accuracy: 0.2137\n", + "Epoch 48/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.2835 - accuracy: 0.2290\n", + "Epoch 49/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.2593 - accuracy: 0.2290\n", + "Epoch 50/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.2337 - accuracy: 0.2519\n", + "Epoch 51/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 2.2059 - accuracy: 0.2595\n", + "Epoch 52/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 2.1825 - accuracy: 0.3206\n", + "Epoch 53/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.1546 - accuracy: 0.3130\n", + "Epoch 54/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.1283 - accuracy: 0.2901\n", + "Epoch 55/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.1007 - accuracy: 0.2901\n", + "Epoch 56/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.0714 - accuracy: 0.3206\n", + "Epoch 57/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 2.0444 - accuracy: 0.2824\n", + "Epoch 58/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 2.0189 - accuracy: 0.3359\n", + "Epoch 59/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 1.9946 - accuracy: 0.3740\n", + "Epoch 60/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.9695 - accuracy: 0.4046\n", + "Epoch 61/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 1.9446 - accuracy: 0.4046\n", + "Epoch 62/400\n", + "5/5 [==============================] - 0s 797us/step - loss: 1.9173 - accuracy: 0.4046\n", + "Epoch 63/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 1.8898 - accuracy: 0.4046\n", + "Epoch 64/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.8680 - accuracy: 0.3969\n", + "Epoch 65/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.8448 - accuracy: 0.3359\n", + "Epoch 66/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.8259 - accuracy: 0.3053\n", + "Epoch 67/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.8013 - accuracy: 0.3206\n", + "Epoch 68/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.7811 - accuracy: 0.3740\n", + "Epoch 69/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.7567 - accuracy: 0.3435\n", + "Epoch 70/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.7326 - accuracy: 0.3206\n", + "Epoch 71/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.7041 - accuracy: 0.3740\n", + "Epoch 72/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.6831 - accuracy: 0.4198\n", + "Epoch 73/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.6628 - accuracy: 0.4504\n", + "Epoch 74/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.6346 - accuracy: 0.4809\n", + "Epoch 75/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.6106 - accuracy: 0.4962\n", + "Epoch 76/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.5817 - accuracy: 0.5115\n", + "Epoch 77/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.5571 - accuracy: 0.5344\n", + "Epoch 78/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.5272 - accuracy: 0.5344\n", + "Epoch 79/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.5030 - accuracy: 0.5573\n", + "Epoch 80/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.4744 - accuracy: 0.5420\n", + "Epoch 81/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.4479 - accuracy: 0.5344\n", + "Epoch 82/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.4245 - accuracy: 0.5420\n", + "Epoch 83/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.4005 - accuracy: 0.5344\n", + "Epoch 84/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.3668 - accuracy: 0.5649\n", + "Epoch 85/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.3377 - accuracy: 0.5802\n", + "Epoch 86/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 1.3159 - accuracy: 0.6107\n", + "Epoch 87/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 1.2879 - accuracy: 0.6107\n", + "Epoch 88/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 1.2598 - accuracy: 0.6183\n", + "Epoch 89/400\n", + "5/5 [==============================] - 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0s 2ms/step - loss: 0.6550 - accuracy: 0.8931\n", + "Epoch 117/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.6383 - accuracy: 0.9237\n", + "Epoch 118/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.6257 - accuracy: 0.8779\n", + "Epoch 119/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.6062 - accuracy: 0.8855\n", + "Epoch 120/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5955 - accuracy: 0.8626\n", + "Epoch 121/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.5807 - accuracy: 0.8702\n", + "Epoch 122/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5633 - accuracy: 0.8702\n", + "Epoch 123/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5429 - accuracy: 0.9008\n", + "Epoch 124/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5302 - accuracy: 0.9313\n", + "Epoch 125/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5237 - accuracy: 0.9237\n", + "Epoch 126/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.5132 - accuracy: 0.9313\n", + "Epoch 127/400\n", + "5/5 [==============================] - 0s 996us/step - loss: 0.4901 - accuracy: 0.9237\n", + "Epoch 128/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.4779 - accuracy: 0.9389\n", + "Epoch 129/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.4693 - accuracy: 0.9313\n", + "Epoch 130/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.4544 - accuracy: 0.9389\n", + "Epoch 131/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.4415 - accuracy: 0.9466\n", + "Epoch 132/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.4307 - accuracy: 0.9466\n", + "Epoch 133/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.4182 - accuracy: 0.9466\n", + "Epoch 134/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.4065 - accuracy: 0.9389\n", + "Epoch 135/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3912 - accuracy: 0.9466\n", + "Epoch 136/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.3836 - accuracy: 0.9466\n", + "Epoch 137/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3718 - accuracy: 0.9466\n", + "Epoch 138/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.3611 - accuracy: 0.9618\n", + "Epoch 139/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3494 - accuracy: 0.9618\n", + "Epoch 140/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.3383 - accuracy: 0.9618\n", + "Epoch 141/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3292 - accuracy: 0.9618\n", + "Epoch 142/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.3195 - accuracy: 0.9542\n", + "Epoch 143/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3116 - accuracy: 0.9542\n", + "Epoch 144/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3124 - accuracy: 0.9542\n", + "Epoch 145/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.3052 - accuracy: 0.9618\n", + "Epoch 146/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.2890 - accuracy: 0.9618\n", + "Epoch 147/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.2818 - accuracy: 0.9618\n", + "Epoch 148/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.2801 - accuracy: 0.9618\n", + "Epoch 149/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.2674 - accuracy: 0.9618\n", + "Epoch 150/400\n", + "5/5 [==============================] - 0s 996us/step - loss: 0.2612 - accuracy: 0.9542\n", + "Epoch 151/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.2570 - accuracy: 0.9542\n", + "Epoch 152/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.2433 - accuracy: 0.9618\n", + "Epoch 153/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.2374 - accuracy: 0.9618\n", + "Epoch 154/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.2313 - accuracy: 0.9618\n", + "Epoch 155/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.2225 - accuracy: 0.9695\n", + "Epoch 156/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.2178 - accuracy: 0.9695\n", + "Epoch 157/400\n", + "5/5 [==============================] - 0s 797us/step - loss: 0.2207 - accuracy: 0.9695\n", + "Epoch 158/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.2139 - accuracy: 0.9695\n", + "Epoch 159/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.2077 - accuracy: 0.9847\n", + "Epoch 160/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1975 - accuracy: 0.9847\n", + "Epoch 161/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1889 - accuracy: 0.9847\n", + "Epoch 162/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1861 - accuracy: 0.9924\n", + "Epoch 163/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1847 - accuracy: 0.9847\n", + "Epoch 164/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1810 - accuracy: 0.9847\n", + "Epoch 165/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1746 - accuracy: 0.9847\n", + "Epoch 166/400\n", + "5/5 [==============================] - 0s 996us/step - loss: 0.1734 - accuracy: 0.9847\n", + "Epoch 167/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1701 - accuracy: 0.9924\n", + "Epoch 168/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1627 - accuracy: 0.9924\n", + "Epoch 169/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1554 - accuracy: 0.9924\n", + "Epoch 170/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1541 - accuracy: 0.9695\n", + "Epoch 171/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1525 - accuracy: 0.9695\n", + "Epoch 172/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1502 - accuracy: 0.9695\n", + "Epoch 173/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1483 - accuracy: 0.9618\n", + "Epoch 174/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.1417 - accuracy: 0.9771\n", + "Epoch 175/400\n", + "5/5 [==============================] - 0s 799us/step - loss: 0.1395 - accuracy: 0.9924\n", + "Epoch 176/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1375 - accuracy: 0.9847\n", + "Epoch 177/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1321 - accuracy: 0.9847\n", + "Epoch 178/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1303 - accuracy: 0.9771\n", + "Epoch 179/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.1323 - accuracy: 0.9771\n", + "Epoch 180/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1312 - accuracy: 0.9771\n", + "Epoch 181/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1230 - accuracy: 0.9771\n", + "Epoch 182/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1197 - accuracy: 0.9847\n", + "Epoch 183/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1207 - accuracy: 0.9695\n", + "Epoch 184/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1163 - accuracy: 0.9695\n", + "Epoch 185/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1123 - accuracy: 0.9847\n", + "Epoch 186/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.1062 - accuracy: 0.9924\n", + "Epoch 187/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1089 - accuracy: 0.9771\n", + "Epoch 188/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1114 - accuracy: 0.9771\n", + "Epoch 189/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1121 - accuracy: 0.9771\n", + "Epoch 190/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1092 - accuracy: 0.9771\n", + "Epoch 191/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1066 - accuracy: 0.9771\n", + "Epoch 192/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.1008 - accuracy: 0.9771\n", + "Epoch 193/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0970 - accuracy: 0.9924\n", + "Epoch 194/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0922 - accuracy: 0.9924\n", + "Epoch 195/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0910 - accuracy: 0.9924\n", + "Epoch 196/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0893 - accuracy: 0.9924\n", + "Epoch 197/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0882 - accuracy: 0.9924\n", + "Epoch 198/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0864 - accuracy: 0.9924\n", + "Epoch 199/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0841 - accuracy: 0.9924\n", + "Epoch 200/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0822 - accuracy: 0.9924\n", + "Epoch 201/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0807 - accuracy: 0.9924\n", + "Epoch 202/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0792 - accuracy: 0.9924\n", + "Epoch 203/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0792 - accuracy: 0.9924\n", + "Epoch 204/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0799 - accuracy: 0.9924\n", + "Epoch 205/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0799 - accuracy: 0.9771\n", + "Epoch 206/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0774 - accuracy: 0.9847\n", + "Epoch 207/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0758 - accuracy: 0.9924\n", + "Epoch 208/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0719 - accuracy: 0.9924\n", + "Epoch 209/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0738 - accuracy: 0.9924\n", + "Epoch 210/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0728 - accuracy: 0.9924\n", + "Epoch 211/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0713 - accuracy: 0.9924\n", + "Epoch 212/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0684 - accuracy: 0.9924\n", + "Epoch 213/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0662 - accuracy: 0.9924\n", + "Epoch 214/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0664 - accuracy: 0.9924\n", + "Epoch 215/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0653 - accuracy: 1.0000\n", + "Epoch 216/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0637 - accuracy: 0.9924\n", + "Epoch 217/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0635 - accuracy: 0.9924\n", + "Epoch 218/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0611 - accuracy: 0.9924\n", + "Epoch 219/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0602 - accuracy: 0.9924\n", + "Epoch 220/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0592 - accuracy: 0.9924\n", + "Epoch 221/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0584 - accuracy: 0.9924\n", + "Epoch 222/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0580 - accuracy: 0.9924\n", + "Epoch 223/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0579 - accuracy: 0.9924\n", + "Epoch 224/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0567 - accuracy: 0.9924\n", + "Epoch 225/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0556 - accuracy: 0.9924\n", + "Epoch 226/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0548 - accuracy: 0.9924\n", + "Epoch 227/400\n", + "5/5 [==============================] - 0s 797us/step - loss: 0.0520 - accuracy: 0.9924\n", + "Epoch 228/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0519 - accuracy: 0.9924\n", + "Epoch 229/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0520 - accuracy: 0.9924\n", + "Epoch 230/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0516 - accuracy: 0.9924\n", + "Epoch 231/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0497 - accuracy: 0.9924\n", + "Epoch 232/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0485 - accuracy: 0.9924\n", + "Epoch 233/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0483 - accuracy: 0.9924\n", + "Epoch 234/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0471 - accuracy: 0.9924\n", + "Epoch 235/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0469 - accuracy: 0.9924\n", + "Epoch 236/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0464 - accuracy: 0.9924\n", + "Epoch 237/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0459 - accuracy: 0.9924\n", + "Epoch 238/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0453 - accuracy: 0.9924\n", + "Epoch 239/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0457 - accuracy: 0.9924\n", + "Epoch 240/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0519 - accuracy: 0.9924\n", + "Epoch 241/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0501 - accuracy: 0.9924\n", + "Epoch 242/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0465 - accuracy: 0.9924\n", + "Epoch 243/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0451 - accuracy: 0.9924\n", + "Epoch 244/400\n", + "5/5 [==============================] - 0s 799us/step - loss: 0.0437 - accuracy: 0.9924\n", + "Epoch 245/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0428 - accuracy: 0.9924\n", + "Epoch 246/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0421 - accuracy: 0.9924\n", + "Epoch 247/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0411 - accuracy: 0.9924\n", + "Epoch 248/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0404 - accuracy: 0.9847\n", + "Epoch 249/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0411 - accuracy: 0.9924\n", + "Epoch 250/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0446 - accuracy: 0.9924\n", + "Epoch 251/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0457 - accuracy: 0.9924\n", + "Epoch 252/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0400 - accuracy: 0.9924\n", + "Epoch 253/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0391 - accuracy: 0.9924\n", + "Epoch 254/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0401 - accuracy: 0.9847\n", + "Epoch 255/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0376 - accuracy: 0.9924\n", + "Epoch 256/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0364 - accuracy: 0.9924\n", + "Epoch 257/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0359 - accuracy: 0.9924\n", + "Epoch 258/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0350 - accuracy: 0.9924\n", + "Epoch 259/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0351 - accuracy: 0.9924\n", + "Epoch 260/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0342 - accuracy: 0.9924\n", + "Epoch 261/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0342 - accuracy: 0.9924\n", + "Epoch 262/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0342 - accuracy: 0.9924\n", + "Epoch 263/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0415 - accuracy: 0.9924\n", + "Epoch 264/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0400 - accuracy: 0.9924\n", + "Epoch 265/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0365 - accuracy: 0.9924\n", + "Epoch 266/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0355 - accuracy: 0.9924\n", + "Epoch 267/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0341 - accuracy: 0.9924\n", + "Epoch 268/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0322 - accuracy: 0.9924\n", + "Epoch 269/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0315 - accuracy: 0.9924\n", + "Epoch 270/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0314 - accuracy: 0.9924\n", + "Epoch 271/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0306 - accuracy: 0.9924\n", + "Epoch 272/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0305 - accuracy: 0.9847\n", + "Epoch 273/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0301 - accuracy: 0.9924\n", + "Epoch 274/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0298 - accuracy: 0.9924\n", + "Epoch 275/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0296 - accuracy: 0.9924\n", + "Epoch 276/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0296 - accuracy: 0.9847\n", + "Epoch 277/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0291 - accuracy: 0.9924\n", + "Epoch 278/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0288 - accuracy: 0.9924\n", + "Epoch 279/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0284 - accuracy: 0.9924\n", + "Epoch 280/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0288 - accuracy: 0.9924\n", + "Epoch 281/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0287 - accuracy: 0.9924\n", + "Epoch 282/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0278 - accuracy: 0.9924\n", + "Epoch 283/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0276 - accuracy: 0.9924\n", + "Epoch 284/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0283 - accuracy: 0.9924\n", + "Epoch 285/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0275 - accuracy: 0.9924\n", + "Epoch 286/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0269 - accuracy: 0.9924\n", + "Epoch 287/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0266 - accuracy: 0.9847\n", + "Epoch 288/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0269 - accuracy: 0.9924\n", + "Epoch 289/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0265 - accuracy: 0.9924\n", + "Epoch 290/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0260 - accuracy: 0.9924\n", + "Epoch 291/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0261 - accuracy: 0.9924\n", + "Epoch 292/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0259 - accuracy: 0.9924\n", + "Epoch 293/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0255 - accuracy: 0.9924\n", + "Epoch 294/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0255 - accuracy: 0.9847\n", + "Epoch 295/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0298 - accuracy: 0.9924\n", + "Epoch 296/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0370 - accuracy: 0.9924\n", + "Epoch 297/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0345 - accuracy: 0.9924\n", + "Epoch 298/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0277 - accuracy: 0.9924\n", + "Epoch 299/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0275 - accuracy: 0.9924\n", + "Epoch 300/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0262 - accuracy: 0.9924\n", + "Epoch 301/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0258 - accuracy: 0.9924\n", + "Epoch 302/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0244 - accuracy: 0.9924\n", + "Epoch 303/400\n", + "5/5 [==============================] - 0s 799us/step - loss: 0.0248 - accuracy: 0.9924\n", + "Epoch 304/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0242 - accuracy: 0.9924\n", + "Epoch 305/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0243 - accuracy: 0.9924\n", + "Epoch 306/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0232 - accuracy: 0.9924\n", + "Epoch 307/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0230 - accuracy: 0.9924\n", + "Epoch 308/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0230 - accuracy: 0.9924\n", + "Epoch 309/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0229 - accuracy: 0.9924\n", + "Epoch 310/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0231 - accuracy: 0.9924\n", + "Epoch 311/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0263 - accuracy: 0.9924\n", + "Epoch 312/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0331 - accuracy: 0.9924\n", + "Epoch 313/400\n", + "5/5 [==============================] - 0s 797us/step - loss: 0.0312 - accuracy: 0.9924\n", + "Epoch 314/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0268 - accuracy: 0.9924\n", + "Epoch 315/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0241 - accuracy: 0.9924\n", + "Epoch 316/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0228 - accuracy: 0.9924\n", + "Epoch 317/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0222 - accuracy: 0.9924\n", + "Epoch 318/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0218 - accuracy: 0.9924\n", + "Epoch 319/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0216 - accuracy: 0.9924\n", + "Epoch 320/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0214 - accuracy: 0.9924\n", + "Epoch 321/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0213 - accuracy: 0.9924\n", + "Epoch 322/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0212 - accuracy: 0.9924\n", + "Epoch 323/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0211 - accuracy: 0.9924\n", + "Epoch 324/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0209 - accuracy: 0.9924\n", + "Epoch 325/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0210 - accuracy: 0.9847\n", + "Epoch 326/400\n", + "5/5 [==============================] - 0s 799us/step - loss: 0.0205 - accuracy: 0.9924\n", + "Epoch 327/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0206 - accuracy: 0.9847\n", + "Epoch 328/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0204 - accuracy: 0.9847\n", + "Epoch 329/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0203 - accuracy: 0.9924\n", + "Epoch 330/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0204 - accuracy: 0.9924\n", + "Epoch 331/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0205 - accuracy: 0.9924\n", + "Epoch 332/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0200 - accuracy: 0.9924\n", + "Epoch 333/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0201 - accuracy: 0.9924\n", + "Epoch 334/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0199 - accuracy: 0.9924\n", + "Epoch 335/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0200 - accuracy: 0.9847\n", + "Epoch 336/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0204 - accuracy: 0.9924\n", + "Epoch 337/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0202 - accuracy: 0.9924\n", + "Epoch 338/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0336 - accuracy: 0.9924\n", + "Epoch 339/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0309 - accuracy: 0.9924\n", + "Epoch 340/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0237 - accuracy: 0.9924\n", + "Epoch 341/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0233 - accuracy: 0.9924\n", + "Epoch 342/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0212 - accuracy: 0.9924\n", + "Epoch 343/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0206 - accuracy: 0.9924\n", + "Epoch 344/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0197 - accuracy: 0.9924\n", + "Epoch 345/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0192 - accuracy: 0.9924\n", + "Epoch 346/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0194 - accuracy: 0.9924\n", + "Epoch 347/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0193 - accuracy: 0.9924\n", + "Epoch 348/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0188 - accuracy: 0.9924\n", + "Epoch 349/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0194 - accuracy: 0.9847\n", + "Epoch 350/400\n", + "5/5 [==============================] - 0s 3ms/step - loss: 0.0184 - accuracy: 0.9924\n", + "Epoch 351/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0185 - accuracy: 0.9924\n", + "Epoch 352/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0182 - accuracy: 0.9924\n", + "Epoch 353/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0185 - accuracy: 0.9924\n", + "Epoch 354/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0181 - accuracy: 0.9924\n", + "Epoch 355/400\n", + "5/5 [==============================] - 0s 799us/step - loss: 0.0180 - accuracy: 0.9924\n", + "Epoch 356/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0180 - accuracy: 0.9924\n", + "Epoch 357/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0181 - accuracy: 0.9924\n", + "Epoch 358/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0178 - accuracy: 0.9924\n", + "Epoch 359/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0177 - accuracy: 0.9924\n", + "Epoch 360/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0176 - accuracy: 0.9924\n", + "Epoch 361/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0178 - accuracy: 0.9924\n", + "Epoch 362/400\n", + "5/5 [==============================] - 0s 2ms/step - loss: 0.0176 - accuracy: 0.9924\n", + "Epoch 363/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0175 - accuracy: 0.9924\n", + "Epoch 364/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0174 - accuracy: 0.9924\n", + "Epoch 365/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0176 - accuracy: 0.9924\n", + "Epoch 366/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0176 - accuracy: 0.9924\n", + "Epoch 367/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0177 - accuracy: 0.9847\n", + "Epoch 368/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0173 - accuracy: 0.9924\n", + "Epoch 369/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0171 - accuracy: 0.9924\n", + "Epoch 370/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0173 - accuracy: 0.9924\n", + "Epoch 371/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0171 - accuracy: 0.9924\n", + "Epoch 372/400\n", + "5/5 [==============================] - 0s 797us/step - loss: 0.0176 - accuracy: 0.9847\n", + "Epoch 373/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0173 - accuracy: 0.9924\n", + "Epoch 374/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0170 - accuracy: 0.9924\n", + "Epoch 375/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0176 - accuracy: 0.9847\n", + "Epoch 376/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0173 - accuracy: 0.9847\n", + "Epoch 377/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0169 - accuracy: 0.9847\n", + "Epoch 378/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0172 - accuracy: 0.9924\n", + "Epoch 379/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0170 - accuracy: 0.9924\n", + "Epoch 380/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0172 - accuracy: 0.9847\n", + "Epoch 381/400\n", + "5/5 [==============================] - 0s 998us/step - loss: 0.0167 - accuracy: 0.9924\n", + "Epoch 382/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0164 - accuracy: 0.9924\n", + "Epoch 383/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0165 - accuracy: 0.9924\n", + "Epoch 384/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0163 - accuracy: 0.9924\n", + "Epoch 385/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0166 - accuracy: 0.9924\n", + "Epoch 386/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0164 - accuracy: 0.9924\n", + "Epoch 387/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0164 - accuracy: 0.9924\n", + "Epoch 388/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0164 - accuracy: 0.9847\n", + "Epoch 389/400\n", + "5/5 [==============================] - 0s 798us/step - loss: 0.0161 - accuracy: 0.9924\n", + "Epoch 390/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0165 - accuracy: 0.9847\n", + "Epoch 391/400\n", + "5/5 [==============================] - 0s 3ms/step - loss: 0.0162 - accuracy: 0.9924\n", + "Epoch 392/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0161 - accuracy: 0.9924\n", + "Epoch 393/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0161 - accuracy: 0.9924\n", + "Epoch 394/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0161 - accuracy: 0.9924\n", + "Epoch 395/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0163 - accuracy: 0.9924\n", + "Epoch 396/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0158 - accuracy: 0.9924\n", + "Epoch 397/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0160 - accuracy: 0.9924\n", + "Epoch 398/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0165 - accuracy: 0.9924\n", + "Epoch 399/400\n", + "5/5 [==============================] - 0s 1ms/step - loss: 0.0250 - accuracy: 0.9924\n", + "Epoch 400/400\n", + "5/5 [==============================] - 0s 997us/step - loss: 0.0323 - accuracy: 0.9924\n" ] } ], @@ -1173,7 +972,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 18, "source": [ "# Save the neural network model:\r\n", "model.save(\"chat_model\")\r\n", diff --git a/requirements.txt b/requirements.txt index aa1fc66..a358be8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,101 @@ -tensorflow==2.3.1 -nltk==3.5 +absl-py==0.13.0 +argon2-cffi==20.1.0 +astunparse==1.6.3 +attrs==21.2.0 +backcall==0.2.0 +bleach==4.0.0 +cachetools==4.2.2 +certifi==2021.5.30 +cffi==1.14.6 +charset-normalizer==2.0.4 +click==8.0.1 colorama==0.4.3 -numpy==1.18.5 -scikit_learn==0.23.2 +debugpy==1.4.1 +decorator==5.0.9 +defusedxml==0.7.1 +entrypoints==0.3 Flask==1.1.2 +gast==0.3.3 +google-auth==1.35.0 +google-auth-oauthlib==0.4.5 +google-pasta==0.2.0 +grpcio==1.39.0 +h5py==2.10.0 +idna==3.2 +ipykernel==6.2.0 +ipython==7.26.0 +ipython-genutils==0.2.0 +ipywidgets==7.6.3 +itsdangerous==2.0.1 +jedi==0.18.0 +Jinja2==3.0.1 +joblib==1.0.1 +jsonschema==3.2.0 jupyter==1.0.0 +jupyter-client==6.1.12 +jupyter-console==6.4.0 +jupyter-core==4.7.1 +jupyterlab-pygments==0.1.2 +jupyterlab-widgets==1.0.0 +Keras-Preprocessing==1.1.2 +Markdown==3.3.4 +MarkupSafe==2.0.1 +matplotlib-inline==0.1.2 +mistune==0.8.4 +mongoengine==0.23.1 +nbclient==0.5.4 +nbconvert==6.1.0 +nbformat==5.1.3 +nest-asyncio==1.5.1 +nltk==3.5 +notebook==6.4.3 +numpy==1.18.5 +oauthlib==3.1.1 +opt-einsum==3.3.0 +packaging==21.0 +pandocfilters==1.4.3 +parso==0.8.2 +pickleshare==0.7.5 +prometheus-client==0.11.0 +prompt-toolkit==3.0.19 +protobuf==3.17.3 +pyasn1==0.4.8 +pyasn1-modules==0.2.8 +pycparser==2.20 +Pygments==2.10.0 +pymongo==3.12.0 +pyparsing==2.4.7 +pyrsistent==0.18.0 +python-dateutil==2.8.2 +python-dotenv==0.19.0 +pywin32==301 +pywinpty==1.1.3 +pyzmq==22.2.1 +qtconsole==5.1.1 +QtPy==1.10.0 +regex==2021.8.3 +requests==2.26.0 +requests-oauthlib==1.3.0 +rsa==4.7.2 +scikit-learn==0.23.2 +scipy==1.7.1 +Send2Trash==1.8.0 +six==1.16.0 +tensorboard==2.6.0 +tensorboard-data-server==0.6.1 +tensorboard-plugin-wit==1.8.0 +tensorflow==2.3.1 +tensorflow-estimator==2.3.0 +termcolor==1.1.0 +terminado==0.11.0 +testpath==0.5.0 +threadpoolctl==2.2.0 +tornado==6.1 +tqdm==4.62.1 +traitlets==5.0.5 +urllib3==1.26.6 +wcwidth==0.2.5 +webencodings==0.5.1 +Werkzeug==2.0.1 +widgetsnbextension==3.5.1 +wrapt==1.12.1