Implementation of Adversarial Examples using Deep Convolutional Generative Adversial Network (DCGAN)
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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
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