Data Science Programming All-in-One For Dummies

Chapter 5

Leveraging a Deep Learning Framework

IN THIS CHAPTER

Understanding frameworks

Using a basic framework

Working with TensorFlow

Using a deep learning framework can greatly reduce the time, cost, and complexity of developing a deep learning solution. Even though deep learning frameworks have many characteristics of frameworks in general, they also provide specific functionality. This chapter explores some aspects of that functionality.

Not everyone uses the same ideas and concepts for running deep learning applications. In addition, not every organization wants to invest in a complex deep learning framework when a less expensive and simpler framework will do. Consequently, you find a lot of deep learning frameworks that can provide you with basic functionality that you can use for experimentation and for simpler applications. This chapter explores some of these basic frameworks and compares them so that you have a better idea of what is available.

To provide the best possible learning environment, this book relies on the TensorFlow framework for the examples. The final sections of the chapter describe TensorFlow and tell you how to install it. TensorFlow works better for ...