Introduction The vectorized operations have been discussed in the last post Maths in a Neural Network: Vectorization. This post will focus on implementing the equations with numpy. Equations proved in the previous postsĀ [1] [2]: Note that this network takes one sample input at a time, I'll discuss batch prediction/training later. Feed-forward: $latex A^{(l)}= f^{(l)}(Z^{(l)})&s=2$ $latex … Continue reading Code a Neural Network with Numpy