预订 Applied Deep Learning with TensorFlow 2 [ISBN:97814842801 【全球购】进口原版图书,约5-8周到达国内后发出
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【预订】Applied Deep Learning 9781484237892 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 9781484237892 Author 作者 Michelucci Format 版本 平装-胶订 Publication Date 出版日期 2018-09-08 Language 语种 英语 Book Contents 内容简介 Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.The next section talks about more complicated neural network architectures with several layers and neurons and explores the problem of random initialization of weights. An entire chapter is dedicated to a complete overview of neural network error analysis, giving examples of solving problems originating from varia
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【预订】La "Chiesa Dell‘autostrada" Di Giovanni Michelucci. Una 预订商品,按需印刷,需要1-3个月发货,非质量问题不接受退换货。
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海外直订Space and Place in the Works of D H Lawrence D·H·劳伦斯作品中的
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预订 高被引Handbook of Human Computation [ISBN:9781493948154] 【全球购】进口原版图书,约5-8周到达国内后发出
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【预订】The Poetry of Thom Gunn: A Critical Study 美国库房发货,通常付款后3-5周到货!
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预订 Handbook of Human Computation 预订商品
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【预订】Advanced Applied Deep Learning 9781484249758 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 9781484249758 Author 作者 Michelucci Format 版本 平装-胶订 Pages Number 页数 175页 Publisher 出版社 Apress Publication Date 出版日期 2019-11-14 Language 语种 英语 Book Contents 内容简介 Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow.Along the way, you will look at the fundamental operations in CNN, such as convolution and pooling, and then look at more advanced architectures such as inception networks, resnets, and many more. While the book discusses theoretical topics, you will discover how to work efficiently with Keras with many tricks and tips, including how to customize logging in Keras wi
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深度学习 基于案例理解深度神经网络 (瑞士)翁贝托·米凯卢奇(Umberto Michelucci) 著
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预订Applied Deep Learning with TensorFlow 2:Learn to Implement 预订,预计下单后3-6周左右发货!
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【预订】Applied Deep Learning with TensorFlow 2 9781484280195 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 9781484280195 Author 作者 Umberto Michelucci Format 版本 平装-胶订 Pages Number 页数 362页 Publisher 出版社 Apress Publication Date 出版日期 2022-04-16 Language 语种 其它(含多语) Book Contents 内容简介 Build neural network models theoretically using TensorFlow 2.0. with workable implementations. This new edition focuses on the practical aspects of implementing deep-learning solutions using the new deep learning framework TensorFlow 2.0 and in particular Keras with its rich Python ecosystem.Written with a more pedagogical approach, this book is designed so that you can focus on the parts you’re interested in. Additionally, you’ll explores recent advances in the field namely, autoencoders and multitask learning, A short chapter will also describe the differences between PyTorch and TensorFlow 2.0. The book also focuses on introducing you to key concepts of
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【预订】Handbook of Human Computation 美国库房发货,通常付款后3-5周到货!
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海外直订Handbook of Human Computation 人类计算手册
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海外直订Advanced Applied Deep Learning: Convolutional Neural Net
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【预订】Space and Place in the Works of D.H. Lawrence 美国库房发货,通常付款后3-5周到货!
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深度学习:基于案例理解深度神经网络 基于实例,手把手教你理解并使用Python和TensorFlow构建自己的深度神经网络,并传授实践中会用到的一些高级技术。
1)包含 正则化、学习率衰减技术 和不同的 优化器 的完整概述及示例; 2)介绍 Dropout 和 超参数调优 等高级技术; 3)包含构建 卷积神经网络 和 递归神经网络 模块的概述; 4)额外含有 优化 Python 代码 的技巧。
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深度学习进阶 卷积神经网络和对象检测 (瑞士)翁贝托·米凯卢奇(Umberto Michelucci)著 机械工业出版社
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深度学习 基于案例理解深度神经网络 (瑞士)翁贝托·米凯卢奇(Umberto Michelucci) 著 陶阳,邓红平 全新正版
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深度学习 (瑞士) 翁贝托 米凯卢奇 (Umberto Michelucci) 著 机械工业出版社
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深度学习进阶:卷积神经网络和对象检测 包含基于Keras和TensorFlow的YOLO算法完整实现
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深度学习 基于案例理解深度神经网络 9787111637103
Product Details 基本信息 ISBN-13 书号 9787111637103 Author 作者 (瑞士)翁贝托·米凯卢奇(Umberto Michelucci) Format 版本 平装-胶订 Pages Number 页数 268页 Publisher 出版社 机械工业出版社 Publication Date 出版日期 2019-10-01 Product Dimensions 商品尺寸 16开 Language 语种 其它(含多语) Book Contents 内容简介 本书探讨了深度学习中的不错主题,例如优化算法、超参数调整、Dropout和误差分析,以及解决在训练深度神经网络时遇到的典型问题的策略。你首先要研究激活函数,主要是单个神经元(relu、sigmoid和swish),了解如何使用TensorFlow进行线性和逻辑回归,并选择正确的代价函数。接着讨论了具有多个层和神经元的更复杂的神经网络结构,并探讨了权重的随机初始化问题。一整章致力于对神经网络误差分析的全面概述,给出了解决来自不
¥60.00定价:¥120.00 (5折)