This is the GAN series implmentations

This DCGAN architecture is based on Radford et al.'s Unsupervised representation learning with deep convolutional generative adversarial networks, where the generator consists of :

1. transposed convolutional layers
2. BatchNorm
3. ReLU

Look at the notebook for full implmentation with details