Deep Learning Ian??? Pdf


Deep Learning Ian??? Pdf
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Deep Learning


Deep Learning
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Author : Ian Goodfellow
language : en
Publisher: MIT Press
Release Date : 2016-11-10

Deep Learning written by Ian Goodfellow and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Computers categories.


An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.



Programming Pytorch For Deep Learning


Programming Pytorch For Deep Learning
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Author : Ian Pointer
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-20

Programming Pytorch For Deep Learning written by Ian Pointer and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-20 with Computers categories.


Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework. Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data. Learn how to deploy deep learning models to production Explore PyTorch use cases in companies other than Facebook Learn how to apply transfer learning to images Apply cutting-edge NLP techniques using a model trained on Wikipedia





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Author :
language : zh-CN
Publisher:
Release Date : 1991

written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with China categories.


本书从中国人口素质的实际情况出发,解析了中国人口素质的现状,探讨了成因,提出了解决问题的途径、方法。





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Author : 贾雷德·戴蒙德
language : zh-CN
Publisher: BEIJING BOOK CO. INC.
Release Date : 2006-01-01

written by 贾雷德·戴蒙德 and has been published by BEIJING BOOK CO. INC. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-01 with History categories.


为什么是欧亚大陆人征服、赶走或大批杀死印第安人、澳大利亚人和非洲人,而不是相反?为什么么小麦和玉米、牛和猪以及现代世界的其他一些“不了起的”作物和牲畜出现在这些特定地区,而不是其他地区?在这部开创性的著作中,演化生物学家贾雷德.戴蒙德揭示了事实上有助于形成历史最广泛模式的环境因素,从而以震撼人心的力量摧毁了以种族主义为基础的人类史理论,因其突出价值和重要性,本书荣获1998年美国普利策奖和英国科普书奖,并为《纽约时报》畅销书排行榜作品。 本书是理解人类社会发展史方面的一个重大进展,它记录了现代世界及其诸多不平等所以形成的原因,也是一部真正关于全世界各民族的历史,是对人类生活的完整一贯的叙述,娓娓道来,具有很强的可读性。





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Author : 瓦普尼克
language : zh-CN
Publisher:
Release Date : 2000

written by 瓦普尼克 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computational learning theory categories.


著者译名:瓦普尼克。



Symphony


Symphony
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Author :
language : en
Publisher:
Release Date : 2004

Symphony written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Orchestra categories.






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Author : Elizabeth Gilbert
language : zh-TW
Publisher:
Release Date : 2007

written by Elizabeth Gilbert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Travel writers categories.






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Author : Ray Dalio
language : zh-CN
Publisher:
Release Date : 2022

written by Ray Dalio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Balance of power categories.






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Author : (美)Peter Harrington著
language : zh-CN
Publisher: BEIJING BOOK CO. INC.
Release Date : 2013-06-01

written by (美)Peter Harrington著 and has been published by BEIJING BOOK CO. INC. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-01 with Computers categories.


机器学习是人工智能研究领域中的一个极其重要的方向。在现今大数据时代的背景下,捕获数据并从中萃取有价值的信息或模式,使得这一过去为分析师与数学家所专属的研究领域越来越为人们瞩目。本书通过精心编排的实例,切入日常工作任务,摒弃学术化语言,利用高效可复用的Python 代码阐释如何处理统计数据,进行数据分析及可视化。读者可从中学到一些核心的机器学习算法,并将其运用于某些策略性任务中,如分类、预测及推荐等。本书适合机器学习相关研究人员及互联网从业人员学习参考。





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Author :
language : en
Publisher:
Release Date : 2013

written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.