Abstract
This chapter provides a broad overview and an historical context on the subject of deep learning. It also gives the reader a roadmap for navigating the book, its prerequisites, and further reading to dive deeper into the subject matter.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Nikhil Ketkar
About this chapter
Cite this chapter
Ketkar, N. (2017). Introduction to Deep Learning. In: Deep Learning with Python. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2766-4_1
Download citation
DOI: https://doi.org/10.1007/978-1-4842-2766-4_1
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-2765-7
Online ISBN: 978-1-4842-2766-4
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)