Deep Learning

Deep Learning
Author :
Publisher : John Wiley & Sons
Total Pages : 548
Release :
ISBN-10 : 9781119845034
ISBN-13 : 1119845033
Rating : 4/5 (033 Downloads)

Book Synopsis Deep Learning by : Stephane Tuffery

Download or read book Deep Learning written by Stephane Tuffery and published by John Wiley & Sons. This book was released on 2022-11-22 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: DEEP LEARNING A concise and practical exploration of key topics and applications in data science In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition. This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find: A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists.


Deep Learning Related Books

Deep Learning for Coders with fastai and PyTorch
Language: en
Pages: 624
Authors: Jeremy Howard
Categories: Computers
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media

DOWNLOAD EBOOK

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Practical Deep Learning
Language: en
Pages: 463
Authors: Ronald T. Kneusel
Categories: Computers
Type: BOOK - Published: 2021-02-23 - Publisher: No Starch Press

DOWNLOAD EBOOK

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you’ve been
Practical Deep Learning for Cloud, Mobile, and Edge
Language: en
Pages: 585
Authors: Anirudh Koul
Categories: Computers
Type: BOOK - Published: 2019-10-14 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the nex
Deep Learning
Language: en
Pages: 801
Authors: Ian Goodfellow
Categories: Computers
Type: BOOK - Published: 2016-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and res
Deep Learning with Fastai Cookbook
Language: en
Pages: 308
Authors: Mark Ryan
Categories:
Type: BOOK - Published: 2021-08 - Publisher: Packt Publishing

DOWNLOAD EBOOK

Harness the power of the easy-to-use, high-performance fastai framework to rapidly create complete deep learning solutions with few lines of code Key Features: