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The Resource Deep learning with Python : learn best practices of deep learning models with PyTorch, Nikhil Ketkar, Jojo Moolayil

Deep learning with Python : learn best practices of deep learning models with PyTorch, Nikhil Ketkar, Jojo Moolayil

Label
Deep learning with Python : learn best practices of deep learning models with PyTorch
Title
Deep learning with Python
Title remainder
learn best practices of deep learning models with PyTorch
Statement of responsibility
Nikhil Ketkar, Jojo Moolayil
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group. You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch. You will: Review machine learning fundamentals such as overfitting, underfitting, and regularization. Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent. Apply in-depth linear algebra with PyTorch Explore PyTorch fundamentals and its building blocks Work with tuning and optimizing models
Member of
Cataloging source
GW5XE
http://library.link/vocab/creatorName
Ketkar, Nikhil
Dewey number
005.13/3
Illustrations
illustrations
Index
index present
LC call number
QA76.73.P98
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Moolayil, Jojo
http://library.link/vocab/subjectName
  • Machine learning
  • Python (Computer program language)
  • Data mining
  • Data mining
  • Machine learning
  • Python (Computer program language)
Label
Deep learning with Python : learn best practices of deep learning models with PyTorch, Nikhil Ketkar, Jojo Moolayil
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1 - Introduction Deep Learning -- Chapter 2 - Introduction to PyTorch -- Chapter 3- Feed Forward Networks -- Chapter 4 - Automatic Differentiation in Deep Learning -- Chapter 5 - Training Deep Neural Networks -- Chapter 6 - Convolutional Neural Networks -- Chapter 7 - Recurrent Neural Networks -- Chapter 8 - Recent advances in Deep Learning
Control code
1246247219
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xvii, 306 pages)
File format
unknown
Form of item
online
Isbn
9781484253649
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-5364-9
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1246247219
Label
Deep learning with Python : learn best practices of deep learning models with PyTorch, Nikhil Ketkar, Jojo Moolayil
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Chapter 1 - Introduction Deep Learning -- Chapter 2 - Introduction to PyTorch -- Chapter 3- Feed Forward Networks -- Chapter 4 - Automatic Differentiation in Deep Learning -- Chapter 5 - Training Deep Neural Networks -- Chapter 6 - Convolutional Neural Networks -- Chapter 7 - Recurrent Neural Networks -- Chapter 8 - Recent advances in Deep Learning
Control code
1246247219
Dimensions
unknown
Edition
Second edition.
Extent
1 online resource (xvii, 306 pages)
File format
unknown
Form of item
online
Isbn
9781484253649
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-1-4842-5364-9
Other physical details
illustrations
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)1246247219

Library Locations

    • Ellis LibraryBorrow it
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      38.944491 -92.326012
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      38.946102 -92.330125
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