chapter one

1 An Introduction to Deep Learning Systems

 

This chapter covers

  • What is a deep learning system or platform?
  • An overview of a basic deep learning system and its components
  • What this book is about and who is it for
  • A typical deep learning development cycle and how it relates to a deep learning system
  • Differences between building a deep learning system and developing models

In the deep learning field, it is the models that get all the attention. Perhaps rightly so, when you consider that new applications developed from those models are coming onto the market regularly—applications that get consumers excited, such as human-detecting security cameras, accurate voice-recognizing phone menus, fast character recognition in multiple languages with almost instant language translation, and advanced driver assistance systems that can one day lead to fully autonomous and self-driving cars. Within a very short period of time, the deep learning field is filled with immense excitement, and promising potential waiting to be fully realized.

1.1 Deep learning system overview

1.2 Deep learning development cycle

1.2.1 Different roles in the cycle

1.2.2 Walkthrough of a typical deep learning development cycle

1.3 Differences between building a deep learning system and developing a model

1.4 Summary