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Deep Learning With R, Paperback by Chollet, Francois; Kalinowski, Tomasz; All...
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eBay item number:364394318477
Item specifics
- Condition
- Book Title
- Deep Learning With R
- ISBN
- 9781633439849
- Subject Area
- Computers
- Publication Name
- Deep Learning with R, Second Edition
- Publisher
- Manning Publications Co. LLC
- Item Length
- 9.2 in
- Subject
- Machine Theory, Intelligence (Ai) & Semantics, Neural Networks
- Publication Year
- 2022
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.3 in
- Item Weight
- 36 Oz
- Item Width
- 7.3 in
- Number of Pages
- 568 Pages
About this product
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
1633439844
ISBN-13
9781633439849
eBay Product ID (ePID)
2328312176
Product Key Features
Number of Pages
568 Pages
Language
English
Publication Name
Deep Learning with R, Second Edition
Publication Year
2022
Subject
Machine Theory, Intelligence (Ai) & Semantics, Neural Networks
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
1.3 in
Item Weight
36 Oz
Item Length
9.2 in
Item Width
7.3 in
Additional Product Features
Edition Number
2
LCCN
2022-439012
Illustrated
Yes
Synopsis
Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python . All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. About the book Deep Learning with R, Second Edition is a hands-on guide to deep learning using the R language. As you move through this book, you'll quickly lock in the foundational ideas of deep learning. The intuitive explanations, crisp illustrations, and clear examples guide you through core DL skills like image processing and text manipulation, and even advanced features like transformers. This revised and expanded new edition is adapted from Deep Learning with Python, Second Edition by François Chollet, the creator of the Keras library. What's inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation About the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required. About the author François Chollet is a software engineer at Google and creator of Keras. Tomasz Kalinowski is a software engineer at RStudio and maintainer of the Keras and Tensorflow R packages. J.J. Allaire is the founder of RStudio, and the author of the first edition of this book. Table of Contents 1 What is deep learning? 2 The mathematical building blocks of neural networks 3 Introduction to Keras and TensorFlow 4 Getting started with neural networks: Classification and regression 5 Fundamentals of machine learning 6 The universal workflow of machine learning 7 Working with Keras: A deep dive 8 Introduction to deep learning for computer vision 9 Advanced deep learning for computer vision 10 Deep learning for time series 11 Deep learning for text 12 Generative deep learning 13 Best practices for the real world 14 Conclusions, Deep learning from the ground up using R and the powerful Keras library! In Deep Learning with R, Second Edition you will learn: Deep learning from first principles Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation Deep Learning with R, Second Edition shows you how to put deep learning into action. It''s based on the revised new edition of François Chollet''s bestselling Deep Learning with Python . All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert insights, practical techniques, and important theory for building neural networks. about the technology Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R. what''s inside Image classification and image segmentation Time series forecasting Text classification and machine translation Text generation, neural style transfer, and image generation about the reader For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.
LC Classification Number
QA276.45.R3C46 2022
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eBay item number:364394318477
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