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Implementation of basic Neural Network, backprop and learning algorithms in plain numpy.

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Deep-Learning

Implementation of Deep Learning algorithms into a simple Python framework using only NumPy.

New algorithms will be implemented when I get a good grasp on those algorithms.

Implemented Algorithms:

Deep L ANN:

    Forward Propagation using he, Xavier, random initialization; Normalization.

    Binary Cross entropy loss, Regularization.

    Backward Propagation.

    Gradient Descent.

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Implementation of basic Neural Network, backprop and learning algorithms in plain numpy.

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