Deep Convolutional GAN Generators Built from Transposed Convolutions

GAN Generator Class Architecture in PyTorch using MNIST Dataset and Convt2d Layers

Generative Adversarial Networks (GANs) operate on a minimax game theoretic principle where a Generator constructs data samples from random noise while a Discriminator performs binary classification t…