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  1. Should we always go deeper? Study on Ensemble Learning as an alternative to going deeper in Deep Learning showing interesting results

    Python 1

  2. Personal notes and code examples on Deep RL nanodegree from Udacity, Sutton and Barto book and David Silver course on youtube

    Jupyter Notebook 2

  3. Stanford XCS224N - Deep Learning for NLP

    JavaScript 5 1

  4. Empirical Analysis of LeCun's paper “Understanding Deep Architectures Using a Recursive Convolutional Network”

    Jupyter Notebook

  5. Tool to create an analytical dashboard get insights for NN (statistics over: weights, gradients, updates, covariance shift...; analyzing batch_size, layer_sizes, learning_rate...)

    HTML 1

  6. Certified Course on Computer Vision by OpenCV

    C++

699 contributions in the last year

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Contribution activity

October 2020

4 contributions in private repositories Oct 6 – Oct 19

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