深度生成模型(全彩) ChatGPT\Stable Diffusion\DALL-E\MidJourney等AIGC模型的技术基石,深学细悟筑基石,任凭风浪起,稳步迈进通用人工智能
深学细悟筑基石,任凭风浪起,稳步迈进通用人工智能 用本书可 可系统学习自回归模型、流模型、隐变量模型、基于能量的模型等 学会本书可 构建可又快又准地作出决策的AI系统 这种AI系统将从生成的角度来理解周边世界
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【预订】Deep Generative Modeling 9783030931605 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 9783030931605 Author 作者 Jakub M. Tomczak Format 版本 平装-胶订 Pages Number 页数 197页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2023-02-19 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.46 Shipping Weight 商品重量 0.68 Language 语种 其它(含多语) Book Contents 内容简介 This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning. The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occ
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Product Details 基本信息 ISBN-13 书号 9783030931575 Author 作者 Jakub M. Tomczak Format 版本 精装 Pages Number 页数 null页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-03-02 Product Dimensions 商品尺寸 9.21 x 6.14 x 0.56 Shipping Weight 商品重量 1.06 Language 语种 其它(含多语) Book Contents 内容简介 This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning. Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning. The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world. It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and
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深学细悟筑基石,任凭风浪起,稳步迈进通用人工智能 →用本书可 可系统学习自回归模型、流模型、隐变量模型、基于能量的模型等 →学会本书可 构建可又快又准地作出决策的AI系统 这种AI系统将从生成的角度来理解周边世界
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深学细悟筑基石,任凭风浪起,稳步迈进通用人工智能 →用本书可 可系统学习自回归模型、流模型、隐变量模型、基于能量的模型等 →学会本书可 构建可又快又准地作出决策的AI系统 这种AI系统将从生成的角度来理解周边世界
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深学细悟筑基石,任凭风浪起,稳步迈进通用人工智能 →用本书可 可系统学习自回归模型、流模型、隐变量模型、基于能量的模型等 →学会本书可 构建可又快又准地作出决策的AI系统 这种AI系统将从生成的角度来理解周边世界
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