GitHub - davisliang/RNN_Generalized: My first RNN implementation. It features arbitrary numbers of hidden units and arbitrary number of time steps. Arbitrary input and targets can be processed with a few minor changes (delete two lines, check consistency). The RNN learns with the Backpropagation Through Time algorithm. Python version coming soon.

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My first RNN implementation. It features arbitrary numbers of hidden units and arbitrary number of time steps. Arbitrary input and targets can be processed with a few minor changes (delete two lines, check consistency). The RNN learns with the Backpropagation Through Time algorithm. Python version coming soon.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
RNNmain.m		RNNmain.m
backpropthroughtime.m		backpropthroughtime.m
feedforward.m		feedforward.m
initializeNetwork.m		initializeNetwork.m
sigmoid.m		sigmoid.m
weightupdate.m		weightupdate.m