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  1. DL_computefest_2017 DL_computefest_2017 Public

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    Harvard Computefest 2017 Deep Learning workshops

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    Convolutional nets which can take molecular graphs of arbitrary size as input.

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  5. cs228-material cs228-material Public

    Forked from kuleshov/teaching-material

    Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

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  6. CNN_Gradient_Analysis CNN_Gradient_Analysis Public

    Forked from johnmgregoire/CNN_Gradient_Analysis

    Train a convolutional neural network and analyze the gradients in the model to identify relationships in high dimensional spaces.

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