Inside Deep Learning

Math, Algorithms, Models



Bookstore > Books > Inside Deep Learning

Price$49.99 - $75.42
Rating
AuthorEdward Raff
PublisherManning
Published2022
Pages600
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101617298638
ISBN-139781617298639
EBook Hardcover Paperback

Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped - you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.

Deep learning doesn't have to be a black box! Knowing how your models and algorithms actually work gives you greater control over your results. And you don't have to be a mathematics expert or a senior data scientist to grasp what's going on inside a deep learning system. This book gives you the practical insight you need to understand and explain your work with confidence.

Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You'll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!




5 5 16

Similar Books


Deep Learning with Azure

Deep Learning with Azure

by Mathew Salvaris, Danielle Dean, Wee Hyong Tok

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no ...

Price:  $37.99  |  Publisher:  Apress  |  Release:  2018

Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing

by Palash Goyal, Sumit Pandey, Karan Jain

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models.You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP...

Price:  $31.93  |  Publisher:  Apress  |  Release:  2018

Deep Learning Pipeline

Deep Learning Pipeline

by Hisham El-Amir, Mahmoud Hamdy

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome b...

Price:  $30.93  |  Publisher:  Apress  |  Release:  2020

Deep Learning with Python

Deep Learning with Python

by Nihkil Ketkar

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Faceboo...

Price:  $32.99  |  Publisher:  Apress  |  Release:  2020

Practical MATLAB Deep Learning, 2nd Edition

Practical MATLAB Deep Learning, 2nd Edition

by Michael Paluszek, Stephanie Thomas, Eric Ham

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the complete set of functions needed to implement a...

Price:  $41.19  |  Publisher:  Apress  |  Release:  2022

Applied Deep Learning with TensorFlow 2, 2nd Edition

Applied Deep Learning with TensorFlow 2, 2nd Edition

by Umberto Michelucci

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are int...

Price:  $48.23  |  Publisher:  Apress  |  Release:  2022

Fundamentals of Deep Learning

Fundamentals of Deep Learning

by Nikhil Buduma

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 su...

Price:  $30.45  |  Publisher:  O'Reilly Media  |  Release:  2017

Deep Learning and the Game of Go

Deep Learning and the Game of Go

by Max Pumperla, Kevin Ferguson

Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game.The ancient strategy game of Go is an incredible case...

Price:  $46.05  |  Publisher:  Manning  |  Release:  2019