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Popular repositories

  1. MNIST-Convolutional-Neural-Network

    Beginner CNN to predict numbers of MNIST digit feature set.

    Python

  2. Titanic-Disaster---ANN

    Basic Functionality, 85% accurate, no tuning/cross validation

    Python

  3. CNN-Cats-and-Dogs-Classification-Model

    85-90% classification model for dogs and cats. Adding another Convolution module, 40% dropout module and batch normalization increases accuracy from 85 to 98 but must be run from GPU/cloud TPU

    Python

  4. Stock-Price-RNN

    Recurrent Neural Network for predicting Google's Stock Price. Fast train on CPU. Maps data to MatPlotLib graph.

    Python

  5. Bootstrap-Navbar

    Quick, simple Navbar for use in Angular projects

    HTML

  6. beer

    Forked from infinityworks/beer

    HTML

127 contributions in the last year

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January 2019

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