Learning Generative Adversarial Networks_Next generation deep learning simplified First published: October 2017 | 203页 | pdf格式
2019-12-21 21:42:32 10.86MB Generative Adversarial
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作者为Jason Brownlee. 请支持正版!本资源供非商业用途共享! About the Ebook: 3 parts, 14 step-by-step tutorial lessons, 246 pages. 6 LSTM model architectures. 45 Python (.py) files.
2019-12-21 21:39:46 6.72MB LSTM python RNN Jason
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Tree-Based Convolutional Neural Networks,Lili Mou • Zhi Jin。2018年新书,介绍基于树构造的卷积神经网络。
2019-12-21 21:38:19 2.71MB 卷积神经网络 神经网络 深度学习
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高清英文PDF版。 Andrew S. Tanenbaum的计算机网络最新版第5版。 《计算机网络(第5版)》是国内外使用最广泛、最权威的计算机网络经典教材。全书按照网络协议模型自下而上(物理层、数据链路层、介质访问控制层、网络层、传输层和应用层)有系统地介绍了计算机网络的基本原理,并结合internet给出了大量的协议实例。在讲述网络各层次内容的同时,还与时俱进地引入了最新的网络技术,包括无线网络、3g蜂窝网络、rfid与传感器网络、内容分发与p2p网络、流媒体传输与ip语音,以及延迟容忍网络等。另外,本书针对当前网络应用中日益突出的安全问题,用了一整章的篇幅对计算机网络的安全性进行了深入讨论,而且把相关内容与最新网络技术结合起来阐述。
2019-12-21 21:35:12 8.06MB 计算机网络(第5版)
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The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the Internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics, to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject.
2019-12-21 21:32:02 7.08MB Complex Networks
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贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现,贝叶斯网络的R语言实现。
2019-12-21 21:31:24 1.48MB 贝叶斯网络
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美国州立大学电脑科学系必修课程之一。 非扫描版。带Index
2019-12-21 21:28:32 28.78MB Network System
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Neural Networks: Tricks of the Trade, Second Edition Editors: Grégoire Montavon, Geneviève B. Orr, Klaus-Robert Müller 有关神经网络、深度学习Tricks的入门经典书籍。
2019-12-21 21:24:58 13.08MB 深度学习 神经网络 机器学习
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A Guide to Convolutional Neural Networks for Computer Vision-Morgan & Claypool(2018).pdf
2019-12-21 21:23:22 6.28MB 深度学习 计算机网络 卷积神经网络
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Communication Networks Fundamental Concepts and Key Architectures 英文无水印pdf pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
2019-12-21 21:22:41 19.03MB Networks Fundamental Concepts Key
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