O'Reilly logo

Deep Learning with TensorFlow - Second Edition by Md. Rezaul Karim, Giancarlo Zaccone

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 1. Getting Started with Deep Learning

This chapter explains some of the basic concepts of Machine Learning (ML) and Deep Learning (DL) that will be used in all the subsequent chapters. We will start with a brief introduction to ML. Then we will move to DL, which is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data.

We will briefly discuss some of the most well-known and widely used neural network architectures, before moving on to coding with TensorFlow in Chapter 2, A First Look at TensorFlow. In this chapter, we will look at various features of DL frameworks and libraries, such as the native language of the framework, multi-GPU support, and aspects of usability.

In a nutshell, the following ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required