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  1. Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume …

    Jupyter Notebook 2.2k 631

  2. Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

    1.1k 232

  3. Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

    Jupyter Notebook 641 200

  4. Growing the code out of your notebooks - the right way.

    485 24

  5. Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 diffe…

    Python 185 74

  6. Code Machine Learning Pipelines - The Right Way.

    4 1

970 contributions in the last year

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Contribution activity

May 2019

82 contributions in private repositories May 1 – May 21

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