Can I read Hands-On Mathematics for Deep Learning on EtoBox?

Hands-On Mathematics for Deep Learning by Jay Dawani is a nonfiction available to read on EtoBox.

What is Hands-On Mathematics for Deep Learning about?

A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, image, text, and sequence applicationsBook DescriptionMost programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how e

Who reads Hands-On Mathematics for Deep Learning?

Author

Jay Dawani

Publisher

Packt Publishing

Published

2020

Language

EN

Category

nonfiction

Subjects

Mathematics, Computational Mathematics, Stem