You will learn to: Build the general architecture of a learning algorithm, including: Initializing parameters Calculating the cost function and its gradient Using an optimization algorithm (gradient descent) Gather all three functions above into a main model function, in the right order. Overview of the Problem set Problem Statement: You are given a dataset containing: … Continue reading Code a Neural Network in plain NumPy: Part 1 (with no Hidden Layer) →