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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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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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Product Details 基本信息 ISBN-13 书号 9781839210686 Author 作者 Ravichandiran Format 版本 平装-胶订 Pages Number 页数 760页 Publisher 出版社 Packt Publishing Publication Date 出版日期 2020-09-30 Product Dimensions 商品尺寸 23.5 x 19.1 x 3.8 cm Shipping Weight 商品重量 1.3 kg Language 语种 其它（含多语） Book Contents 内容简介 With significant enhancements in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been revamped into an example-rich guide to learning state-of-the-art reinforcement learning (RL) and deep RL algorithms with TensorFlow 2 and the OpenAI Gym toolkit.In addition to exploring RL basics and foundational concepts such as Bellman equation, Markov decision processes, and dynamic programming algorithms, this second edition dives deep into the full spectrum of value-based, policy-based, and
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