10000 Add implementation of the multi-layer perceptron classifier from scratch by duuan · Pull Request #12756 · TheAlgorithms/Python · GitHub
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Add implementation of the multi-layer perceptron classifier from scratch #12756

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Add implementation of the multi-layer perceptron classifier from scratch #12756

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73b9f07
add a code file of the multi-layer perceptron classifier from scrach
duuan May 14, 2025
d02e27b
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 14, 2025
53a35b1
Delete tqdm in multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
a7a4e78
Update multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
aa823d8
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] May 14, 2025
eccf386
Update multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
64e52d1
Correct errors in multilayer_perceptron_classifier_from_scratch.py
duuan May 14, 2025
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Update multilayer_perceptron_classifier_from_scratch.py
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@duuan
duuan authored May 14, 2025
commit a7a4e780c94e4e76f9d25b785d76c28916889417
17 changes: 9 additions & 8 deletions machine_learning/multilayer_perceptron_classifier_from_scratch.py
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Expand Up @@ -142,15 +142,15 @@
self.gamma = gamma # learning_rate decay hyperparameter gamma
self.epoch = epoch
self.hidden_dim = hidden_dim

self.train_loss = []
self.train_accuracy = []
self.test_loss = []
self.test_accuracy = []

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machine_learning/multilayer_perceptron_classifier_from_scratch.py:145:1: W293 Blank line contains whitespace
self.train_loss: list[float] = []
self.train_accuracy: list[float] = []
self.test_loss: list[float] = []
self.test_accuracy: list[float] = []

self.dataloader = dataloader
self.inter_variable = {}
self.weights1_list = []
self.inter_variable: dict[str, np.ndarray] = {}
self.weights1_list: list[np.ndarray] = []

def get_inout_dim(self) -> tuple[int, int]:
"""
Expand Down Expand Up @@ -469,7 +469,8 @@

w1, w2 = self.initialize()

test_accuracy_list, test_loss_list = [], []
test_accuracy_list: list[float] = []
test_loss_list: list[float] = []

batch_size = 1

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