TensorFlow in Action - Softcover

Ganegedara, Thushan

Softcover

ISBN 10: 1617298344 ISBN 13: 9781617298349

Publisher: Manning, 2022

Synopsis

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.

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

About this title

About the Author

Thushan Ganegedara is a data scientist with QBE. He holds a PhD in machine learning from the University of Sydney and he has worked with TensorFlow for almost 5 years. Thushan is also one of the most active answer providers for TensorFlow and TensorFlow2.0 tags on Stackoverflow, a DataCamp instructor, and has authored a book and video course on NLP with TensorFlow.

From the Back Cover

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.

Thushan Ganegedara draws on his experience as a practitioner and teacher of deep learning to demystify concepts otherwise trapped in denseacademic papers. A top Stack Overflow contributor for deep learning and NLP, Thushan's quirky stories, real-world advice, and behind-the-scenes explanations make even complex ideas easy to understand! 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. When you're done, you'll be ready to implement state-of-the-art deep learning applications and know the design secrets behind their success.

Edition details

• Publisher: Manning
• Publication date: 2022
• Language: English
• ISBN 10: 1617298344
• ISBN 13: 9781617298349
• Binding: Paperback
• Number of pages: 680