🍀 Challenge: Define the Generator
This task will test your knowledge on building the Generator class for the conditional GAN.
We'll cover the following
Problem statement
A partial Generator
class for the Fashion MNIST dataset is provided to you. Your task is to define the:
-
Network architecture
-
The input layer should have
100+10
nodes. -
The hidden layer 1 should have
200
nodes with theLeakyReLU
activation applied to the output. The hidden layer 1 output should be normalized. -
The output layer should have
784
nodes with theSigmoid
activation function applied to the output.
-
-
Loss function as
BCE
. -
Optimiser as
Adam
. The learning rate should be0.0001
.
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