How can you use torch nn Module to create a custom generator for GANs

Question

Can you tell me how you can use torch.nn.Module to create a custom generator for GANs?

Answer 1

To create a custom generator for GANs using torch.nn.Module, you can define a subclass of nn.Module to implement a forward pass for generating fake data from random noise. Here is the code snippet which you can refer to:

In the above code, we are using the following key approaches:

1. Custom Generator: A fully connected network (MLP) with layers increasing in size, followed by a Tanh activation to output images in the range [-1, 1].
2. Forward Pass: The network takes random noise z as input and generates a fake image.

Hence, by referring to these, you can easily use torch.nn.Module to create a custom generator for GANs.