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Miscellaneous code from Andrew Ng's Stanford Coursera Machine Learning course
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Haskell neural-net: cleanup & abstract out executables
e9a7f3fView on GitHubHaskell neural-net: regularized backprop & extended xor_xnor example
b5e26d3View on GitHubHaskell neural-net: passes feedForward tests from ML class
aa9fa9eView on GitHubHaskell neural-net: regularization & random initialization
00ae275View on GitHubHaskell neural-net: reshapeNN, forwardProp, nnCostFunction, xor_xnor network
79b856fView on GitHub