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Neural Network with Backprop

Based on very simple explanation and walkthrough by Andrej Karpathy.

Lesson Learned: Make sure your back propagation callback is properly wired otherwise be ready for countless debugging hour. In my case, gradient was available in non linear operation(tanh/relu) but it did not flowed through addition node i.e., gradient was 0.0. I had setup callback incorrectly in tanh. Visualization helped to highlight underlying issue quickly. However, I could not find out exact cause.

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Neural Network with backprop

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