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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 9781718500747 Author 作者 Kneusel Format 版本 平装-胶订 Pages Number 页数 464页 Publisher 出版社 Penguin Random House US Publication Date 出版日期 2021-02-09 Language 语种 英语 Book Contents 内容简介 Practical Deep Learning with Python is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural networks, and modern convolutional neural networks. Experiments in Python--working with leading open-source toolkits and standard datasets--give you hands-on experience with each model and help you build intuition about how to transfer the examples in the book to your own projects.You’ll start with an introduction to the Python language and the NumPy extension that is ubiquitous in machine learning. Prominent toolkits,
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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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