Data Science with Python

Chapter 8

Tips and Tricks of the Trade

Learning Objectives

By the end of this chapter, you will be able to:

• Create better deep learning models faster with the help of transfer learning
• Utilize and work with better models through the help of separate train, development and test datasets
• Work with real life datasets
• Make use of AutoML to find the most optimal network with little to no work
• Visualize neural network models
• Use training logs better

This final chapter shall describe concepts of transfer learning and show you how to use training logs effectively.

Introduction

Now that we have covered almost every topic that you need to be able to kick-start your data science journey, we will introduce you to some tools and tricks that data ...