Implementing Billion-scale semi-supervised learning for image classification using Pytorch

Looking for renormalization in the operation of deep neural networks by training an autoencoder to detect phase transitions in the Ising model, and extracting evidence from layer activations.

Google Research

gradient-descent is a package that contains different gradient-based algorithms. The package purpose is to facilitate the user experience when using optimization algorithms.