This book digs into the newest version of Google's amazing TensorFlow framework and shows how 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.
<ASIN:1617298344>
overflow top Amazon blurb
Author: Thushan Ganegedara Publisher: Manning Date: October 2022 Pages: 680 ISBN: 978-1617298349 Print: 1617298344 Kindle: B0BDGQ87HS Audience: TensorFlow developers Level: Intermediate Category: Artificial Intelligence
What's Inside:
- 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
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Understanding Software Dynamics (Addison-Wesley)
Author: Richard L. Sites Publisher: Addison-Wesley Pages: 464 ISBN: 978-0137589739 Print: 0137589735 Kindle: B09H5JB5HC Audience: Every developers Rating: 5 Reviewer: Kay Ewbank
This book looks at the different reasons why software runs too slowly, and what developers can do about it, starting by looki [ ... ]
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
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Another AI/ML book - is there room for another one?
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