TensorFlow in Action - Paperback, by Ganegedara Thushan - Very Good

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Book Title
TensorFlow in Action
ISBN
9781617298349
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Manning Publications Co. LLC
ISBN-10
1617298344
ISBN-13
9781617298349
eBay Product ID (ePID)
14050393145

Product Key Features

Number of Pages
325 Pages
Language
English
Publication Name
Tensorflow 2. 0 in Action
Publication Year
2022
Subject
Neural Networks, General, Programming Languages / Python
Type
Textbook
Author
Thushan Ganegedara
Subject Area
Computers, Science
Format
Trade Paperback

Dimensions

Item Height
1.6 in
Item Weight
40.9 Oz
Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

LCCN
2022-289624
Dewey Edition
23
Reviews
"Excellent explanations and walk throughs to help bring you up to speed in Tensorflow 2." Todd Cook "The illustrations of technical concepts are excellent." BrianGriner "A hands-on introduction to effective Tensorflow use for real worlds problems." Francisco Rivas "Mr Ganegedara goes to great lengths, with the exemplary use of many figures, to explain not only TensorFlow 2 solutions themselves but also the mechanics of the technology. Highly recommended!" TonyHoldroyd "An excellent resource to learning Tensorflow 2.0 using practical examples." Biswanath Chowdhury "The conversation on writing custom layer was probably the best discussion on that I''ve ever seen. I learned a lot from that chapter." LeviMcClenny "In you want to gain a deep knowledge of deep learning, read this book." Tiklu Ganguly
Illustrated
Yes
Dewey Decimal
006.31
Synopsis
This practical guide to building deep learning models with the new features of TensorFlow 2.0 is filled with engaging projects, simple language, and coverage of the latest algorithms. In TensorFlow 2.0 in Action , you'll dig into the newest version of Google's amazing TensorFlow framework as you learn to create incredible deep learning applications. You'll develop a sentiment analyzer for movie reviews, an NLP spam classifier, and other hands-on projects., Google's TensorFlow framework sits at the heart of modern deep learning. Boasting practical features like multi-GPU support, network data visualization, and easy production pipelines using TensorFlow Extended (TFX), TensorFlow provides the most efficient path to professional AI applications. And the Keras library, fully integrated into TensorFlow 2, makes it a snap to build and train even complex models for vision, language, and more. TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you'll build reusable skill hands-on as you create production-ready applications such as a French-to-English translator and a neural network that can write fiction. You'll appreciate the in-depth explanations that go from DL basics to advanced applications in NLP, image processing, and MLOps, complete with important details that you'll return to reference over and over. What's Inside, Covers TensorFlow 2.9, Recent algorithms including transformers, attention models, and EIMo, Build on pretrained models, Writing end-to-end data pipelines with TFX, For Python programmers with basic deep learning skills. Book jacket., Unlock the TensorFlow design secrets behind successful deep learning applications! Deep learning StackOverflow contributor Thushan Ganegedara teaches you the new features of TensorFlow 2 in this hands-on guide. In TensorFlow in Action you will learn: Fundamentals of TensorFlow Implementing deep learning networks Picking a high-level Keras API for model building with confidence Writing comprehensive end-to-end data pipelines Building models for computer vision and natural language processing Utilizing pretrained NLP models Recent algorithms including transformers, attention models, and ElMo In TensorFlow in Action , you'll dig into the newest version of Google's amazing TensorFlow framework as you learn to create incredible deep learning applications. Author Thushan Ganegedara uses quirky stories, practical examples, and behind-the-scenes explanations to demystify concepts otherwise trapped in dense academic papers. As you dive into modern deep learning techniques like transformer and attention models, you'll benefit from the unique insights of a top StackOverflow contributor for deep learning and NLP. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Google's TensorFlow framework sits at the heart of modern deep learning. Boasting practical features like multi-GPU support, network data visualization, and easy production pipelines using TensorFlow Extended (TFX), TensorFlow provides the most efficient path to professional AI applications. And the Keras library, fully integrated into TensorFlow 2, makes it a snap to build and train even complex models for vision, language, and more. About the book TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you'll build reusable skill hands-on as you create production-ready applications such as a French-to-English translator and a neural network that can write fiction. You'll appreciate the in-depth explanations that go from DL basics to advanced applications in NLP, image processing, and MLOps, complete with important details that you'll return to reference over and over. What's inside Covers TensorFlow 2.9 Recent algorithms including transformers, attention models, and ElMo Build on pretrained models Writing end-to-end data pipelines with TFX About the reader For Python programmers with basic deep learning skills. About the author Thushan Ganegedara is a senior ML engineer at Canva and TensorFlow expert. He holds a PhD in machine learning from the University of Sydney. Table of Contents PART 1 FOUNDATIONS OF TENSORFLOW 2 AND DEEP LEARNING 1 The amazing world of TensorFlow 2 TensorFlow 2 3 Keras and data retrieval in TensorFlow 2 4 Dipping toes in deep learning 5 State-of-the-art in deep learning: Transformers PART 2 LOOK MA, NO HANDS! DEEP NETWORKS IN THE REAL WORLD 6 Teaching machines to see: Image classification with CNNs 7 Teaching machines to see better: Improving CNNs and making them confess 8 Telling things apart: Image segmentation 9 Natural language processing with TensorFlow: Sentiment analysis 10 Natural language processing with TensorFlow: Language modeling PART 3 ADVANCED DEEP NETWORKS FOR COMPLEX PROBLEMS 11 Sequence-to-sequence learning: Part 1 12 Sequence-to-sequence learning: Part 2 13 Transformers 14 TensorBoard: Big brother of TensorFlow 15 TFX: MLOps and deploying models with TensorFlow, TensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning models with the new features of TensorFlow 2.0is filled with engaging projects, simple language, and coverage of the latest algorithms. TensorFlow 2.0 in Action teaches you to use the new features of TensorFlow 2.0 to create advanced deep learning models. You'll learn by building hands-on projects including an image classifier that can recognize objects, a French-to-English machine translator, and even a neural network that can write fiction. You'll dive into the details of modern deep learning techniques including both transformer and attention models, and learn how pretrained models can solve your tricky data science- problems. TensorFlow is the go-to framework for putting deep learning into production. Created by Google, this ground breaking tool handles repetitive low-level operations and frees you up to focus on innovating your AIs.TensorFlow encompasses almost every element of a deep learning pipeline--aone-stop solution for building, monitoring, optimizing, and deploying your models.
LC Classification Number
Q325.5

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