Deep Learning

Deep Learning
Publisher MIT Press
Release Date
Category Computers
Total Pages 800
ISBN 9780262337373
Rating 5/5 from 1 reviews
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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.

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Deep Learning
  • Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
  • Publisher : MIT Press
  • Release Date : 2016-11-10

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

GET BOOK
Deep Learning
  • Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
  • Publisher : MIT Press
  • Release Date : 2016-11-18

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

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Deep Learning
  • Author : Ian Goodfellow
  • Publisher : Unknown
  • Release Date : 2013

Read online Deep Learning written by Ian Goodfellow, published by which was released on 2013. Download full Deep Learning Books now! Available in PDF, ePub and Kindle.

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Deep Learning with Python
  • Author : Francois Chollet
  • Publisher : Manning Publications
  • Release Date : 2017-10-28

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Fran�ois Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free

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Dive Into Deep Learning
  • Author : Joanne Quinn,Joanne McEachen,Michael Fullan,Mag Gardner,Max Drummy
  • Publisher : Corwin Press
  • Release Date : 2019-07-15

Create learning experiences that transform not only learning, but life itself. Learn about, improve, and expand your world of learning. This hands-on companion to the runaway best-seller, Deep Learning: Engage the World Change the World, provides an essential roadmap for building capacity in teachers, schools, districts, and systems to design

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Grokking Deep Learning
  • Author : Andrew W. Trask
  • Publisher : Simon and Schuster
  • Release Date : 2019-01-23

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free

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Deep Learning
  • Author : Josh Patterson,Adam Gibson
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-07-28

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but

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Deep Learning
  • Author : John D. Kelleher
  • Publisher : MIT Press
  • Release Date : 2019-09-10

An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from

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Introduction to Deep Learning
  • Author : Eugene Charniak
  • Publisher : MIT Press
  • Release Date : 2019-01-29

A project-based guide to the basics of deep learning. This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a

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Deep Learning with R
  • Author : Francois Chollet,J.j. Allaire
  • Publisher : Pearson Professional
  • Release Date : 2018

Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

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Deep Learning
  • Author : Michael Fullan,Joanne Quinn,Joanne McEachen
  • Publisher : Corwin Press
  • Release Date : 2017-11-06

Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a

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Deep Learning with Structured Data
  • Author : Mark Ryan
  • Publisher : Manning Publications
  • Release Date : 2020-12-29

Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on.

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Deep Learning for Search
  • Author : Tommaso Teofili
  • Publisher : Unknown
  • Release Date : 2018-07-28

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance. Deep Learning for Search teaches readers how to improve the effectiveness of your search by implementing neural network-based techniques. By the time their finished, they'll be ready to build amazing

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Deep Learning For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release Date : 2019-05-14

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies

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Interpretable Machine Learning
  • Author : Christoph Molnar
  • Publisher : Lulu.com
  • Release Date : 2019

Read online Interpretable Machine Learning written by Christoph Molnar, published by Lulu.com which was released on 2019. Download full Interpretable Machine Learning Books now! Available in PDF, ePub and Kindle.

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