Generative Adversarial Networks Projects

The decoder network

The decoder network in the generator network also consists of eight upsampling convolutional blocks. The configuration for the eight upsampling convolutional blocks is as follows:

Layer Name	Hyperparameters	Input Shape	Output Shape
1st 2D Upsampling Layer	size=(2, 2)	(1, 1, 512)	(2, 2, 512)
2D Convolution Layer	filters=512, kernel_size=4, strides=1, padding='same',	(2, 2, 512)	(2, 2, 512)
Batch Normalization Layer	None	(2, 2, 512)	(2, 2, 512)
Dropout Layer	dropout=0.5	(2, 2, 512)	(2, 2, 512)
Concatenation Layer (7th Conv layer from the encoder network)	axis=3	(2, 2, 512)	(2, 2, 1024)
Activation Layer	activation='relu'	(2, 2, 1024)	(2, 2, 1024)