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Deep Learning Illustrated, Part 2: How Does a Neural Network Learn?
An illustrated and intuitive guide on how Neural Networks learn
Welcome to Part 2 of the Deep Learning Illustrated series. In the previous article (definitely read that first!), we covered how a neural network works and how a trained neural network makes predictions. We also learned that the neural network arrives at optimal weight and bias values during the training process.
In this article, we’ll delve into the training process and explore exactly how a neural network learns.
📣 If you haven’t read my previous articles, I highly recommend you start with my series of articles covering the basics of machine learning, specifically the one on Gradient Descent because you’ll find that a lot of the material covered there is relevant here.
Let’s say we want to create a neural network that predicts the daily revenue of ice cream sales using the features…
