Develop a GAN with Pytorch
Implement and train GAN in Python and Pytorch.
We'll cover the following...
Let’s see all of that in action and build a GAN from scratch.
After importing our standard Pytorch modules, we will define the generator and the discriminator. Both of them are simple multi-layer networks.
Generator
- Receives as input 100-length noise vector sampled from a distribution
- Outputs a flattened image in the dimensions of the cifar10 dataset: