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  1. Deep Learning by Adam Gibson 9781491914250 NEW Paperback

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  2. Deep Learning for Internet of Things Infrastructure

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  3. Deep Learning in Introductory Physics - 9781681236285

    ISBN-13: 9781681236285, 978-1681236285. The book is divided into three parts. Part II presents the results of four exploratory case studies. These studies reproduce the results of Part I with a more diverse sample of students; under new conditions (a public debate, peer discussions, and group interviews); and with new research prompts (model-building software, bridging tasks, and elicitation strategies).

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  4. Deep Learning (Adaptive Computation and Machine Learning series) Ian Goodfellow

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep.

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  5. Learning Deep Learning by Magnus Ekman (Paperback Book)

    NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice. His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us.

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  6. Practical Deep Learning - 9781718500747

    ISBN-13: 9781718500747, 978-1718500747. Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. Practical Deep Learning A Python-Based Introduction.

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  7. Learning Deep Learning by Magnus Ekman NEW Paperback softback

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  8. Deep Learning for NLP and Speech Recognition - 9783030145958

    ISBN-13: 9783030145958, 978-3030145958. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics.

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