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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 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 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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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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