March 2020
Beginner to intermediate
342 pages
8h 38m
English
Before we talk about reducing overfitting, let’s get to know our enemy better. In this section, we’ll dig into the causes of overfitting. What’s happening under the hood of an overfitting neural network?
To fully grok overfitting, you should also understand its opposite: underfitting. In this section, we’ll take a look at underfitting as well.
Let’s start by investigating the causes of overfitting.
So far, I explained overfitting with vague metaphors like “a student memorizing the textbooks.” It’s time to take a glimpse under the hood of supervised learning and understand how overfitting really happens.
Imagine that we want to predict the number of customers at a hot dog stand, starting from a bunch ...