Generative Adversarial Networks Projects

The architecture of the generator 

The generator network in our dummy GAN is a simple feed-forward neural network with five layers: an input layer, three hidden layers, and an output layer. Let's take a closer look at the configuration of the generator (dummy) network:

Layer #	Layer name	Configuration
1	Input layer	input_shape=(batch_size, 100), output_shape=(batch_size, 100)
2	Dense layer	neurons=500, input_shape=(batch_size, 100), output_shape=(batch_size, 500)
3	Dense layer	neurons=500, input_shape=(batch_size, 500), output_shape=(batch_size, 500)
4	Dense layer	neurons=784, input_shape=(batch_size, 500), output_shape=(batch_size, 784)
5	Reshape layer	input_shape=(batch_size, 784), output_shape=(batch_size, ...