Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms - Softcover

Nikhil Buduma; Nicholas Locascio

Softcover

ISBN 10: 9352135601 ISBN 13: 9789352135608

Publisher: Shroff/O'Reilly; First edition, 2017

Synopsis

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field.

Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you're familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.

Examine the foundations of machine learning and neural networks
Learn how to train feed-forward neural networks
Use TensorFlow to implement your first neural network
Manage problems that arise as you begin to make networks deeper
Build neural networks that analyze complex images
Perform effective dimensionality reduction using autoencoders
Dive deep into sequence analysis to examine language
Understand the fundamentals of reinforcement learning

Edition details

• Publisher: Shroff/O'Reilly; First edition
• Publication date: 2017
• Language: English
• ISBN 10: 9352135601
• ISBN 13: 9789352135608
• Binding: Paperback
• Number of pages: 300