ExtraTorrent.st - The Largest Bittorent System
Latest Articles
Most searched
ExtraTorrent.st > Categories > Books torrents > Non-Fiction torrents


Browse Books torrents

I. Goodfellow, Y. Bengio, A. Courville - Deep Learning [2016, PDF, ENG] torrent


Download torrent: Magnet link
Info hash: F8FBB9CD4B913F2D35FFCD37BC9C009412B6842A
Category: Categories > Books torrents > Non-Fiction torrents
Trackers:
http://bt3.t-ru.org/ann?magnet
http://bt1.t-ru.org/ann
http://bt2.t-ru.org/ann
http://bt4.t-ru.org/ann
udp://tracker.opentrackr.org:1337
udp://open.stealth.si:80/announce
udp://tracker.torrent.eu.org:451/announce
udp://exodus.desync.com:6969
udp://open.demonii.com:1337/announce
udp://tracker.coppersurfer.tk:6969
udp://p4p.arenabg.com:1337
udp://tracker.internetwarriors.net:1337
Health:
 seeds: 15, leechers: 1
Torrent language:  
Total Size: 34.97 MB
Number of files:
1   
Uploader:
vedevazz
Torrent added:2017-02-17 08:58:00

Download I. Goodfellow, Y. Bengio, A. Courville - Deep Learning [2016, PDF, ENG] torrent




Torrent Description
Книги и журналы » Компьютерная литература

Deep Learning

Год издания: 2016
Автор: I. Goodfellow, Y. Bengio, A. Courville
Жанр или тематика: Deep learning

Издательство: The MIT Press
ISBN: 978-0262035613
Язык: Английский

Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 800

Описание: 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.
[spoiler="Примеры страниц"]

[/spoiler]
Гудфеллоу Я., Бенджио И., Курвилль А. - Глубокое обучение, 2-е изд. [2018, PDF, RUS]

Download I. Goodfellow, Y. Bengio, A. Courville - Deep Learning [2016, PDF, ENG] torrent


Related Torrents

Added  Size  S  L  Health
Download Magnet link   Goodfellow I. Deep Learning Book 2016 in Ebooks , by
andryold1
4y 16.00 MB 4 1




Home - Browse Torrents
ExtraTorrent.st is in compliance with copyrights
2025 ExtraTorrent.st