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  1. Code and hyperparameters for the paper "Generative Adversarial Networks"

    Python 3k 971

  2. LaTeX files for the Deep Learning book notation

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  3. Exercises for the Deep Learning textbook at www.deeplearningbook.org

    TeX 973 273

  4. Exercises for my tutorials on Theano

    Python 634 314

  5. This was my private research codebase during grad school. After graduation I made it all public

    Python 94 35

  6. Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

    Python 41 16

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January 2021

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