🍀 Challenge: Building the Discriminator

This task will test your knowledge on building the Fashion MNIST discriminator class.

We'll cover the following

Problem statement

A partial Discriminator class is provided to you. Your task is to define the:

  • Network architecture

    • The input layer should have 784 nodes.
    • The hidden layer should have 200 nodes with the LeakyReLU activation applied to the output. The gradient of the left half of the function is 0.020.02. 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.

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