Deep Learning with PyTorch

Defining the generator network

The generator network takes a random vector of fixed dimension as input, and applies a set of transposed convolutions, batch normalization, and ReLu activation to it, and generates an image of the required size. Before looking into the generator implementation, let's look at defining transposed convolution and batch normalization.