Picture 1 of 1
Gallery
Picture 1 of 1
Have one to sell?
Learning Deep Learning : Theory and Practice By Ekman INTERNATIONAL EDITION
US $42.50
ApproximatelyRM 176.78
Condition:
2 available
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:297605260604
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Series
- INTERNATIONAL EDITION PAPERBACK
- Educational Level
- Adult & Further Education
- Features
- International Edition
- Level
- Advanced, Business
- ISBN
- 9780137470358
About this product
Product Identifiers
Publisher
Addison Wesley Professional
ISBN-10
0137470355
ISBN-13
9780137470358
eBay Product ID (ePID)
23050038280
Product Key Features
Number of Pages
752 Pages
Language
English
Publication Name
Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
Publication Year
2021
Subject
Natural Language Processing, Neural Networks, General, Databases / Data Mining
Type
Textbook
Subject Area
Computers, Science
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
34.4 Oz
Item Length
9 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.3
Synopsis
NVIDIA's Full-Color Guide to Deep Learning with TensorFlow: All You Need to Get Started and Get Results Deep learning is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, Magnus Ekman shows how to use fully connected feedforward networks and convolutional networks to solve real problems, such as predicting housing prices or classifying images. You'll learn how to represent words from a natural language, capture semantics, and develop a working natural language translator. With that foundation in place, Ekman then guides you through building a system that inputs images and describes them in natural language. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow and the Keras API. (For comparison and easy migration between frameworks, complementary PyTorch examples are provided online.) He concludes by previewing trends in deep learning, exploring important ethical issues, and providing resources for further learning. Master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how frameworks make it easier to develop more robust and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize classification and analysis Use recurrent neural networks (RNNs) to optimize for text, speech, and other variable-length sequences Master long short-term memory (LSTM) techniques for natural language generation and other applications Move further into natural language-processing (NLP), including understanding and translation, NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success--asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence. Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market. The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details., NVIDIA's Full-Color Guide to Deep Learning: All StudentsNeed to Get Started and Get Results Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this text can be used for students with prior programming experince but with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Ekman shows how to use them to build advanced architectures, including the Transformer. He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras. Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia. He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagation See how DL frameworks make it easier to develop more complicated and useful neural networks Discover how convolutional neural networks (CNNs) revolutionize image classification and analysis Apply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequences Master NLP with sequence-to-sequence networks and the Transformer architecture Build applications for natural language translation and image captioning
LC Classification Number
Q335
Item description from the seller
Popular categories from this store
Seller feedback (820)
- -***o (3)- Feedback left by buyer.Past yearVerified purchaseThe textbook was in great condition and shipping was faster than expected. The value was amazing and I have no complaints. The text is authentic and official and the quality and appearance match those of others found in libraries and universities. The book came very protected and was wrapped in three different layers of protection and a carton box. I highly recommend this seller!Diagnostic and Statistical Manual of Mental Disorders, DSM 5-TR Hardcover (#295186194307)
- 6***a (19)- Feedback left by buyer.Past yearVerified purchaseCame as advertised. Carefully packaged. Good value for money. Excellent serviceTransport Phenomena by Warren E Stewart, R. Byron Bird 2ed INTERNATIONAL EDITION (#294970147271)
- c***o (158)- Feedback left by buyer.Past yearVerified purchaseThe item shipped quickly, was packaged well, and was exactly as described. A+ seller!The Nature of Middle-Earth SPECIAL DELUXE EDITION by J.R.R. Tolkien SLIPCASED (#294839719581)
More to explore :
- Theory and Practice of Counseling and Psychotherapy,
- Learning to Read Fiction & Nonfiction Books,
- Learning to Read Fiction Picture Books Books,
- Learning to Read Children's & Young Adults' Books,
- Fiction Fiction & Learning to Read Books with Vintage,
- Learning to Read Fiction Board Books Books,
- Fiction HarperCollins Fiction & Learning to Read Books,
- Fiction Learning to Read Box Sets Books,
- Fiction Learning to Read Fiction Books & Ex-Library,
- Dr. Seuss Fiction Fiction & Learning to Read Books
Popular categories from this store
Seller feedback (820)
- -***o (3)- Feedback left by buyer.Past yearVerified purchaseThe textbook was in great condition and shipping was faster than expected. The value was amazing and I have no complaints. The text is authentic and official and the quality and appearance match those of others found in libraries and universities. The book came very protected and was wrapped in three different layers of protection and a carton box. I highly recommend this seller!Diagnostic and Statistical Manual of Mental Disorders, DSM 5-TR Hardcover (#295186194307)
- 6***a (19)- Feedback left by buyer.Past yearVerified purchaseCame as advertised. Carefully packaged. Good value for money. Excellent serviceTransport Phenomena by Warren E Stewart, R. Byron Bird 2ed INTERNATIONAL EDITION (#294970147271)
- c***o (158)- Feedback left by buyer.Past yearVerified purchaseThe item shipped quickly, was packaged well, and was exactly as described. A+ seller!The Nature of Middle-Earth SPECIAL DELUXE EDITION by J.R.R. Tolkien SLIPCASED (#294839719581)