Implementation of Adversarial Examples using Deep Convolutional Generative Adversial Network (DCGAN)
Implemented DCGAN and used kaggle dataset as training dataset. Used 100x1 dimension latent space variable as input to the network to finally generate adversarial / fake pokemons. PyTorch framework was used to develop and train the model. For training used Google Colab. Full code can be found here
