Chapter 5: Deep Learning Workflow
In this chapter, we will go through the steps that you might perform while training your neural network, and when putting it into production. We will discuss more about the theory behind deep learning, to explain better what we actually did in Chapter 4, Deep Learning with Neural Networks, but we will stay mostly focused on arguments related to self-driving cars. We will also introduce some concepts that will help us to achieve better precision on CIFAR-10, a famous dataset of small images. We are sure that the theory exposed in this chapter, plus the more practical knowledge associated with Chapter 4, Deep Learning with Neural Networks, and Chapter 6, Improving Your Neural Network, will give you enough tools to be able to perform tasks that are common in the field of self-driving cars.
In this chapter, we will cover the following topics:
- Obtaining or creating the dataset
- Training, validation, and test datasets
- Classifiers
- Data...
