Deep-Learning-using-Cifar-10

Deep Learning concepts practice using Cifar-10 dataset

Topics Covered in this project:

• Build a deep neural network model
• Add "he_normal" as kernel initializer and evaluate the model
• Apply some Nonsaturating Activation Functions : ReLU, LeakyReLU, ReLU, PReLU, ELU, SELU
• Add "lecun_normal" normalization with SELU
• Learning Rate Schedulers : Cyclic Learning rate and also check the accuracy and loss

All the implementation are done in TensorFlow and Keras