This is an attempt at a bottom up implementation of the Recurrent Neural Network architecture with 3 layers and a tanh activation function using only numpy in Python. The LSTM code that is commented out is still a work in progress as there seems to be a logical error in the calculations. Suggestions are welcome.
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hanskrupakar/RNN-In-Numpy
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This is a converging bottom up implementation of the Recurrent Neural Network architecture with 3 layers and a tanh activation function using only numpy in Python.
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