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1. Deep Learning with PyTorch by Eli Stevens, Luca Antiga (Paperback, 2020)

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2. Deep Learning for Biomedical Data Analysis - 9783030716752

   ISBN-13: 9783030716752, 978-3030716752. The techniques and approaches presented in this book deal with the most important and/or the newest topics encountered in this field. The chapters presented in this book were selected for quality and relevance.

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3. Interpretability in Deep Learning - 9783031206382

   ISBN-13: 9783031206382, 978-3031206382. This book is a comprehensive curation, exposition and illustrative discussion of recent research tools for interpretability of deep learning models, with a focus on neural network architectures.

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4. Deep Learning-Based Face Analytics - 9783030746964

   ISBN-13: 9783030746964, 978-3030746964. The prerequisites for optimal use are the basic knowledge of pattern recognition, machine learning, probability theory, and linear algebra. Deep Learning-Based Face Analytics.

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5. Understanding Deep Learning

   The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Language English. This is to ensure that you receive each item as soon as possible.

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6. Deep Learning in Object Recognition, Detection, and Segmentation Xiaogang Wang

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7. Deep Learning in Visual Computing

   From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy.

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8. Deep Learning for Human Activity Recognition - 9789811605741

   ISBN-13: 9789811605741, 978-9811605741. Deep Learning for Human Activity Recognition. Publisher: Springer Verlag, Singapore, Singapore.

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