GitHub - ashsProjects/Data_Augmentation_Using_GANs: This is a notebook exploring the implementation of a GAN using tensorflow in Python to generate additional data to augment the original training data for testing. The purpose of this project was to explore how the accuracies of different datasets differ with increasing samples. It uses a small dataset with ~600 samples and a larger one with ~10000.

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This is a notebook exploring the implementation of a GAN using tensorflow in Python to generate additional data to augment the original training data for testing. The purpose of this project was to explore how the accuracies of different datasets differ with increasing samples. It uses a small dataset with ~600 samples and a larger one with ~10000.