GRADIENTS IN A DEEP NEURAL NETWORK AND THEIR PYTHON IMPLEMENTATIONS

This is an expository article about the gradients in deep neural network. It is hard to find a place where gradients in a deep neural network are dealt in details in a systematic and mathematical way. We review and compute the gradients and Jacobians to derive formulas for gradients which appear in the backpropagation and implement them in vectorized forms in Python.