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Pinned repositories

  1. Single_vs_Ensemble_of_NNs

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

    Python 1

  2. Distilling-Deep-Networks

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


  3. Reinforcement-Learning

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

    Jupyter Notebook

  4. Artificial-Neural-Networks

    Personal notes on theory of ANN. Computing from scratch using (1) plain python and (2) graph approach

    Jupyter Notebook 1

  5. Curso-Machine-Learning-Esp

    Curso de Machine Learning en Español donde se abordarán los algoritmos de ML más utilizados teóricamente, y se llevarán a la práctica en Python y R

    HTML 1

  6. NN_Initialization_Sensitivity

    Empirical Analysis of the sensitivity of a neural network to the weights initialization

    Jupyter Notebook