Dive into Deep Learning by Aston Zhang Paperback Book

Description: FREE SHIPPING UK WIDE Dive into Deep Learning by Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola This approachable text teaches all the concepts, the context, and the code needed to understand deep learning. Suitable for students and professionals, the book doesnt require any previous background in machine learning or deep learning. Interactive examples feature throughout, with runnable code and executable Jupyter notebooks available online. FORMAT Paperback CONDITION Brand New Publisher Description Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse elds as computer vision, natural language processing, and automatic speech recognition. Applying deep learning requires you to simultaneously understand how to cast a problem, the basic mathematics of modeling, the algorithms for tting your models to data, and the engineering techniques to implement it all. This book is a comprehensive resource that makes deep learning approachable, while still providing sufficient technical depth to enable engineers, scientists, and students to use deep learning in their own work. No previous background in machine learning or deep learning is required—every concept is explained from scratch and the appendix provides a refresher on the mathematics needed. Runnable code is featured throughout, allowing you to develop your own intuition by putting key ideas into practice. Author Biography Aston Zhang is Senior Scientist at Amazon Web Services. Zachary C. Lipton is Assistant Professor of Machine Learning and Operations Research at Carnegie Mellon University. Mu Li is Senior Principal Scientist at Amazon Web Services. Alexander J. Smola is VP/Distinguished Scientist for Machine Learning at Amazon Web Services. Table of Contents Installation; Notation; 1. Introduction; 2. Preliminaries; 3. Linear neural networks for regression; 4. Linear neural networks for classification; 5. Multilayer perceptrons; 6. Builders guide; 7. Convolutional neural networks; 8. Modern convolutional neural networks; 9. Recurrent neural networks; 10. Modern recurrent neural networks; 11. Attention mechanisms and transformers; Appendix. Tools for deep learning; Bibliography; Index. Review In less than a decade, the AI revolution has swept from research labs to broad industries to every corner of our daily life. Dive into Deep Learning is an excellent text on deep learning and deserves attention from anyone who wants to learn why deep learning has ignited the AI revolution: the most powerful technology force of our time. Jensen Huang, Founder and CEO, NVIDIAThis is a timely, fascinating book, providing not only a comprehensive overview of deep learning principles but also detailed algorithms with hands-on programming code, and moreover, a state-of-the-art introduction to deep learning in computer vision and natural language processing. Dive into this book if you want to dive into deep learning! Jiawei Han, Michael Aiken Chair Professor, University of Illinois at Urbana-ChampaignThis is a highly welcome addition to the machine learning literature, with a focus on hands-on experience implemented via the integration of Jupyter notebooks. Students of deep learning should find this invaluable to become proficient in this field. Bernhard Schölkopf,, Director, Max Planck Institute for Intelligent SystemsDive into Deep Learning strikes an excellent balance between hands-on learning and in-depth explanation. Ive used it in my deep learning course and recommend it to anyone who wants to develop a thorough and practical understanding of deep learning. Colin Raffel, Assistant Professor, University of North Carolina, Chapel Hill Promotional An approachable text combining the depth and quality of a textbook with the interactive multi-framework code of a hands-on tutorial. Details ISBN1009389432 Author Alexander J. Smola Pages 574 Publisher Cambridge University Press Year 2023 ISBN-10 1009389432 ISBN-13 9781009389433 Format Paperback Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Illustrations Worked examples or Exercises AU Release Date 2023-06-30 NZ Release Date 2023-06-30 DEWEY 006.31 Audience General Publication Date 2023-12-07 UK Release Date 2023-12-07 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:157857968;

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