In this chapter, we will discuss the concept of Transfer Learning. The following are the topics that will be covered:

• Illustrating the use of a pretrained model
• Setting up the Transfer Learning model
• Building an image classification model
• Training a deep learning model on a GPU
• Comparing performance using CPU and GPU