The generator network takes an image of a dimension of (256, 256, 1) from a source domain A and translates it to an image in target domain B, with dimensions of (256, 256, 1). Basically, it translates an image from a source domain A to a target domain B. Let's implement the generator network in the Keras framework.
Perform the following steps to create the generator network:
- Start by defining the hyperparameters required for the generator network:
kernel_size = 4strides = 2leakyrelu_alpha = 0.2upsampling_size = 2dropout = 0.5output_channels = 1input_shape = (256, 256, 1)
- Now create an input layer to feed input to the network as follows:
input_layer = Input(shape=input_shape)
The input layer takes an input image of ...
