A beginner tutorial on building a simple (Elman) recurrent neural network in Python. We'll build an RNN than can compute XOR on sequential data and another that can predict the next character in a sequence.
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A beginner tutorial to understand the theoretical and implementation details of gradient descent by backpropagation using Python.
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Beginner tutorial on writing a genetic algorithm to train a simple 2-layer feed-forward neural network. (Ok, I admit it, the "15 lines" is a gimmick)
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