July 2020
Intermediate to advanced
496 pages
9h 10m
English
Overview
This chapter introduces you to building Keras wrappers with scikit-learn. You will learn to apply cross-validation to evaluate deep learning models, and create user-defined functions to implement deep learning models along with cross-validation. By the end of this chapter, you will be able to build robust models that perform as well on new, unseen data as they do on the trained data.
In the previous chapter, we experimented with different neural network architectures. We were able to evaluate the performance of the different models by observing the loss and accuracy during the course of the training process. This helped us determine when the model ...