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Product Details 基本信息 ISBN-13 书号 9781729388150 Author 作者 Sullivan Format 版本 平装-胶订 Pages Number 页数 200页 Publisher 出版社 Independently Published Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 7.99 x 5.00 x 0.46 Shipping Weight 商品重量 0.49 Language 语种 其它(含多语)
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Product Details 基本信息 ISBN-13 书号 9781484253632 Author 作者 Nikhil Ketkar Format 版本 平装-胶订 Pages Number 页数 271页 Publisher 出版社 Apress Publication Date 出版日期 2020-03-31 Language 语种 其它(含多语) Book Contents 内容简介 Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This new edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group. You’ll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus,
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Product Details 基本信息 ISBN-13 书号 9781484227657 Author 作者 Ketkar Format 版本 平装-胶订 Pages Number 页数 226页 Publisher 出版社 Apress Publication Date 出版日期 2017-04-19 Product Dimensions 商品尺寸 10 x 7 x 0.3 cm Shipping Weight 商品重量 478g Language 语种 英语 Book Contents 内容简介 Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more
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Product Details 基本信息 ISBN-13 书号 9781617296864 Author 作者 Francois Chollet Format 版本 平装-胶订 Pages Number 页数 400页 Publisher 出版社 Manning Publications Publication Date 出版日期 2022-03-31 Product Dimensions 商品尺寸 9.20 x 7.40 x 1.30 Shipping Weight 商品重量 2.30 Language 语种 其它(含多语) Book Contents 内容简介 "The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher Francois Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You’ll build your understanding through p
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Product Details 基本信息 ISBN-13 书号 9781617294433 Author 作者 Chollet, Francois Format 版本 平装-胶订 Pages Number 页数 384页 Publisher 出版社 Manning Publications Publication Date 出版日期 2017-10-28 Product Dimensions 商品尺寸 9.2 x 7.3 x 0.8 cm Shipping Weight 商品重量 1400g Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9781789804744 Author 作者 Alex Galea, Luis Capelo Format 版本 平装-胶订 Pages Number 页数 334页 Publication Date 出版日期 2018-08-31 Language 语种 英语 Book Contents 内容简介 If you’re a Python programmer stepping into the world of data science, this is the ideal way to get started.
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Product Details 基本信息 ISBN-13 书号 9781789956177 Author 作者 Ivan Vasilev Format 版本 平装-胶订 Pages Number 页数 468页 Publisher 出版社 Packt Publishing Publication Date 出版日期 2019-12-19 Product Dimensions 商品尺寸 9.2 x 7.5 x 0.9 cm Shipping Weight 商品重量 1760g Language 语种 英语 Book Contents 内容简介 This book is for data scientists, deep learning engineers and researchers, and AI developers who want to further their knowledge of deep learning and build innovative and unique deep learning projects. Anyone looking to get to grips with advanced use cases and methodologies adopted in the deep learning domain using real-world examples will also find this book useful. Basic understanding of deep learning concepts and working knowledge of the Python programming language is assumed.
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Product Details 基本信息 ISBN-13 书号 9781694119056 Author 作者 Geron Format 版本 平装-胶订 Pages Number 页数 304页 Publisher 出版社 Independently Published Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 9 x 5.9 x 0.6 cm Shipping Weight 商品重量 900g Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9781617296079 Author 作者 Duerr Oliver Format 版本 平装-胶订 Pages Number 页数 296页 Publisher 出版社 Manning Publications Publication Date 出版日期 1800-01-01 Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9781492041412 Author 作者 Weidman Format 版本 平装-胶订 Pages Number 页数 252页 Publisher 出版社 O’Reilly Media Publication Date 出版日期 1800-01-01 Product Dimensions 商品尺寸 9.1 x 7 x 0.5 cm Shipping Weight 商品重量 900g Language 语种 英语
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Product Details 基本信息 ISBN-13 书号 9781484235157 Author 作者 Manaswi Format 版本 平装-胶订 Pages Number 页数 219页 Publication Date 出版日期 2018-05-18 Language 语种 英语 Book Contents 内容简介 Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural
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Product Details 基本信息 ISBN-13 书号 9781788998086 Author 作者 Saransh Mehta Format 版本 平装-胶订 Pages Number 页数 316页 Publisher 出版社 Packt Publishing Publication Date 出版日期 2019-04-30 Language 语种 英语 Book Contents 内容简介 If you’re a data scientist, machine learning developer/engineer, or deep learning practitioner, or are curious about AI and want to upgrade your knowledge of various deep learning architectures, this book will appeal to you. You are expected to have some knowledge of statistics and machine learning algorithms to get the best out of this book
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