The Threat of Overfitting
Explore the concept of overfitting in supervised learning and understand why using separate data for training and testing is crucial. Learn how overfitting affects neural network accuracy and how the blind test rule helps maintain realistic performance estimates on unseen data.
We'll cover the following...
We'll cover the following...
Soon enough, we’ll get to tune our neural network and make it as accurate as possible. Before we do that, however, we need a reliable test to measure that accuracy. As it turns out, ML testing comes with a subtly counterintuitive hurdle that can easily complicate things .
Side note: This short chapter tells us where that testing trapdoor is, and how to step around it.
Overfitting
Since the first part of this course, we’ve been using ...