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.

Branches Tags

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

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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.