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Titlebook: Modern Deep Learning Design and Application Development; Versatile Tools to S Andre Ye Book 2022 Andre Ye 2022 Deep Learning.Python.Neural

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發(fā)表于 2025-3-21 16:35:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Modern Deep Learning Design and Application Development
副標(biāo)題Versatile Tools to S
編輯Andre Ye
視頻videohttp://file.papertrans.cn/638/637081/637081.mp4
概述Explains how to think about deep learning from an analytical and creative problem-solving perspective.Covers multiple case studies of deep learning architectures.Prepares the readers to think critical
圖書封面Titlebook: Modern Deep Learning Design and Application Development; Versatile Tools to S Andre Ye Book 2022 Andre Ye 2022 Deep Learning.Python.Neural
描述.Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking.??.You’ll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you’ll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You’ll learn notonly to understand and apply methods successfully but to think critically about it.?..Modern Deep Learning Design and Methods. is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and
出版日期Book 2022
關(guān)鍵詞Deep Learning; Python; Neural Network; Transfer Learning; Model Compression; Pruning; Pre-trained Model; Ke
版次1
doihttps://doi.org/10.1007/978-1-4842-7413-2
isbn_softcover978-1-4842-7412-5
isbn_ebook978-1-4842-7413-2
copyrightAndre Ye 2022
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Modern Deep Learning Design and Application Development978-1-4842-7413-2
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earning architectures.Prepares the readers to think critical.Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement
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發(fā)表于 2025-3-23 03:26:13 | 只看該作者
Book 2022 case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground yo
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發(fā)表于 2025-3-23 08:14:47 | 只看該作者
Albert Einstein 1879–1955he, wie er überhaupt von einem Theoretiker geliefert werden konnte. Die dritte Abhandlung war die spezielle Relativit?tstheorie, in der Raum, Zeit und Materie in einer fundamentalen Einheit verbunden wurden. Diese letztere Arbeit enth?lt weder Literaturverweise noch bezieht sie sich auf eine fachlic
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