TensorFlow in Action Covers TensorFlow version 2.9

TensorFlow in Action (Covers TensorFlow version 9) Thushan Ganegedara
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 book
TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 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 9
• Recent algorithms including transformers, attention models, and ElMo
• Build on pretrained models
• Writing end-to-end data pipelines with TFX
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.
Categories:
Computers – Artificial Intelligence (AI)
Year:
2022
Edition:
1
Publisher:
Manning Publications
Language:
english
Pages:
680
ISBN 10:
1617298344
ISBN 13:
9781617298349
File:
324 MB