Implementation of a Generative Adversarial Network to create Hand Written Digits from existing dataset of hand written digits(MNIST).
It a jupiter notebook implementation of the above mentioned .
Used Pytorch and torchvision instead of Tensorflow and Keras
Introduction to GAN can be found on this website : https://machinelearningmastery.com/what-are-generative-adversarial-networks-gans/
The dataset I used in this model was taken from the torchvision base datasets, named MNIST, which has a training set of 60,000 examples, and a test set of 10,000 examples.
Documentation for torchvision.datasets : https://pytorch.org/docs/stable/torchvision/datasets.html#mnist
MNIST official site : http://yann.lecun.com/exdb/mnist/