The Deep Learning with Keras Workshop

8. Transfer Learning and Pre-Trained Models

Overview

This chapter introduces the concept of pre-trained models and utilizing them for different applications from those for which they were trained, known as transfer learning. By the end of this chapter, you will be able to apply feature extraction to pre-trained models, exploit pre-trained models for image classification, and apply fine-tuning to pre-trained models to classify images of flowers and cars into their respective classes. We will see that this achieves the same task that we completed in the previous chapter but with greater accuracy and shorter training times.

Introduction

In the previous chapter, we learned how to create a Convolutional Neural Network (CNN) from scratch with ...