🍀 Challenge: Define the Discriminator

We have already discussed the Fashion MNIST dataset here.

Problem statement

A partial Discriminator class for the Fashion MNIST dataset is provided to you. Your task is to define the:

• Network architecture

  • The input layer should have 784+10 nodes.

  • The hidden layer 1 should have 200 nodes with the LeakyReLU activation applied to the output. The hidden layer output should be normalized.

  • The output layer should have 1 node with the Sigmoid activation function applied to the output.

• Loss function as BCE.

• Optimiser as Adam. The learning rate should be 0.0001.