robertsdionne/neural-network-papers
A categorized bibliography and reading list of neural network and deep learning papers and resources.

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This repository is an organized awesome list curating links to papers, books, datasets, pretrained models, and research across neural network subtopics. It spans convolutional networks, recurrent networks, reinforcement learning, adversarial networks, autoencoders, biologically plausible learning, training innovations, and related hardware and cognitive architecture research.