This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei

Principles and Labs for Deep Learning provides the knowledge and techniques needed to help readers design and develop deep learning models. Deep Learning techni

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some back