a function

[matliu]

def d_neural_network_dx(W2, x):
return np.dot(np.dot(W2[1].T, W2[0].T), sigmoid_grad(x)

They come from (5) in the paper “Arti ial Neural Networks for Solving Ordinary and Partial Di erential Equations”. While I think it is not right since it sigma(z) not sigma(x)? But it’s amazing that the results is right.