A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear alge

The main aim of this book is to make the advanced mathematical background accessible to someone with a programming background. This book will equip the readers

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, opti

Understand basic to advanced deep learning algorithms, the mathematical principles behind them, and their practical applications. Key FeaturesGet up-to-speed wi

Math for Deep Learning provides the essential math you need to understand deep learning discussions, explore more complex implementations, and better use the de