July 2020
Intermediate to advanced
174 pages
3h 1m
English
Overview
This chapter focuses on how to evaluate a neural network model. We'll modify the network's hyperparameters to improve its performance. However, before altering any parameters, we need to measure how the model performs. By the end of this chapter, you will be able to evaluate a model using different functions and techniques. You will also learn about hypermeter optimization by implementing functions and regularization strategies.
In the previous chapter, you trained your model. But how will you check its performance and whether it is performing well or not? Let's find out by evaluating a model. In machine learning, it is common to define two distinct terms: ...