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  1. CNNCNNPublic

    Examples of Convolutional Neural Networks

    Jupyter Notebook

  2. Neuralnetwork_BackpropagationNeuralnetwork_BackpropagationPublic

    Learn how a neural network learns through back prograpation (using stochastic gradient descent)

    Jupyter Notebook

  3. RNNRNNPublic

    Recurrent Neural Nets

    Jupyter Notebook

  4. softmax_estmating_parameterssoftmax_estmating_parametersPublic

    Estimating model thetas using 1) Gradient Descent, 2) Stochastic Gradient Descent 3) Mini-batch Gradient Descent and 4) Newton Raphson Method (using Quasi Methods) and Backtracking Linesearch. This…

    Jupyter Notebook

  5. RecommenderSystemsRecommenderSystemsPublic

    Content Based Filtering using Cosine Similarity, Jaccard Similarity, Euclidean Dissimilarity and Pearson Correlation

    Jupyter Notebook

  6. lda_telda_tePublic

    Topic Modeling/Extraction for Telugu articles

    Jupyter Notebook 3