Deep Learning 101: Building a Neural Network from the Ground Up
Nov 3 · 10 min read
In the last post, we walked through the theory behind deep learning and introduced key concepts like backpropagation and gradient descent. Here, we take a more hands-on approach and show how this can all be implemented using Python and Numpy. I'll show where the theory comes in here as we build a simple neural network architecture for prediction, so familiarity with the concepts…


