电子书 英文原版 Applied Deep Learning with Python [ISBN:97817898069 Ebook，一般10个工作日左右发出
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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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预售 【中商原版】实用的深度学习 基于python的介绍 英文原版 Practical Deep Learning A 7月中旬到货
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【预订】Deep Learning with Applications Using Python 97814842351 美国库房发货，通常付款后3-5周到货！
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 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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【预订】Deep Learning and Its Applications Using Python 97813941 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781394166466 Format 版本 精装 Pages Number 页数 256页 Publisher 出版社 Wiley-Scrivener Publication Date 出版日期 2023-10-31 Language 语种 其它（含多语）
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【正版】深度学习+机器学习实战 两本套 人工智能 AI机器学习实战 deep learning中文版 python强化深 正版可开发票 请联系在线当当客服
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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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【正版】深度学习+机器学习实战 两本套 人工智能 AI机器学习实战 deep learning中文版 python强化深 正版书籍支持开发票 如需帮助请联系在线客服
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Product Details 基本信息 ISBN-13 书号 9781260462296 Author 作者 Reddy Konasani Venkata Format 版本 精装 Pages Number 页数 560页 Publication Date 出版日期 2021-02-11 Product Dimensions 商品尺寸 10.10 x 8.10 x 1.30 Shipping Weight 商品重量 2.60磅 Language 语种 其它（含多语）
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Product Details 基本信息 ISBN-13 书号 9781719443715 Format 版本 平装-胶订 Publisher 出版社 Createspace Independent Publishing Platform Publication Date 出版日期 2018-05-21 Language 语种 英语
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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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动手学深度学习 李沐 AI人工智能机器学习深度学习领域教程书籍 DIVE INTO DEEP LEARNING花书 周志 正版图书 可开发票
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3-6周达 Deep Learning and Its Applications Using Python [ISBN: 【全球购】进口原版图书，预计3-6周左右到国内
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【预订】Hands-On Deep Learning Algorithms with Python 9781789344 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781789344158 Author 作者 Sudharsan Ravichandiran Format 版本 平装-胶订 Pages Number 页数 512页 Publisher 出版社 Packt Publishing Publication Date 出版日期 2019-07-25 Product Dimensions 商品尺寸 9.2 x 7.5 x 1 cm Shipping Weight 商品重量 1920g Language 语种 英语 Book Contents 内容简介 If you are a machine learning engineer, data scientist, AI developer, or simply want to focus on neural networks and deep learning, this book is for you. Those who are completely new to deep learning, but have some experience in machine learning and Python programming, will also find the book very helpful.
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动手学深度学习 李沐 AI人工智能机器学习深度学习领域教程书籍 DIVE INTO DEEP LEARNING花书 周志 【需要发票 联系客服】
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深度学习入门 基于Python3的理论与实现 AI人工智能入门教程书 Python深度学习神经网络编程机器学习实战 de
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【预订】Beginning Anomaly Detection Using Python-Based Deep Lear 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9798868800078 Author 作者 Suman Kalyan Adari Format 版本 平装-胶订 Pages Number 页数 430页 Publisher 出版社 Apress Publication Date 出版日期 2023-12-05 Language 语种 其它（含多语） Book Contents 内容简介 This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques. This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly detection. Over the course of the book, you will learn how to use Keras and PyTorch in practical applications. It also introduces new chapters on GANs and transformers to reflect the latest trends in deep learning. Beginning Anomaly Detection Using Python-Based Deep Learning begins with an introduction to anomaly detection, its importance, and its applications. It then covers core data science and machi
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动手学深度学习 李沐 AI人工智能机器学习深度学习领域教程书籍 Dive into Deep Learning花书 周志
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动手学深度学习 李沐 AI人工智能机器学习深度学习领域教程书籍 Dive into Deep Learning花书 周志
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【预订】Beginning Anomaly Detection Using Python-Based Deep Lear 美国库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781484251768 Author 作者 Sridhar Alla Format 版本 平装-胶订 Pages Number 页数 416页 Publisher 出版社 Apress Publication Date 出版日期 2019-10-11 Product Dimensions 商品尺寸 10 x 7 x 0.8 cm Shipping Weight 商品重量 1650g Language 语种 英语 Book Contents 内容简介 Utilize this easy-to-follow beginner’s guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks.This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how
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