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DL_Week2

Aren Ghulijanyan, Sona Arzumanyan

Network.py: Dense Network implementation with activations, dropout and Adam optimizer

TF Network.py: Dense Network implementation with activations and dropout, using the following tf tools:

  • tf.Module
  • tf math operations including the sigmoid and relu
  • tf.GradientTape Note: In the call method of network class updates are done with reversed loop just because of intuition

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