Coverart for item
The Resource Deep learning with Python : a hands-on introduction, Nikhil Ketkar

Deep learning with Python : a hands-on introduction, Nikhil Ketkar

Label
Deep learning with Python : a hands-on introduction
Title
Deep learning with Python
Title remainder
a hands-on introduction
Statement of responsibility
Nikhil Ketkar
Creator
Author
Subject
Language
eng
Summary
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the academic state-of-the-art and the industry state-of-the-practice by introducing you to deep learning frameworks such as Keras, Theano, and Caffe. The practicalities of these frameworks is often acquired by practitioners by reading source code, manuals, and posting questions on community forums, which tends to be a slow and a painful process. Deep Learning with Python allows you to ramp up to such practical know-how in a short period of time and focus more on the domain, models, and algorithms. This book briefly covers the mathematical prerequisites and fundamentals of deep learning, making this book a good starting point for software developers who want to get started in deep learning. A brief survey of deep learning architectures is also included. Deep Learning with Python also introduces you to key concepts of automatic differentiation and GPU computation which, while not central to deep learning, are critical when it comes to conducting large scale experiments. You will: Leverage deep learning frameworks in Python namely, Keras, Theano, and Caffe Gain the fundamentals of deep learning with mathematical prerequisites Discover the practical considerations of large scale experiments Take deep learning models to production
http://library.link/vocab/creatorName
Ketkar, Nikhil
Dewey number
005.13/3
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Machine learning
  • Python (Computer program language)
  • Data mining
Label
Deep learning with Python : a hands-on introduction, Nikhil Ketkar
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
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
Introduction to Deep Learning -- Machine Learning Fundamentals -- Feed Forward Neural Networks -- Introduction to Theano -- Convolutional Neural Networks -- Recurrent Neural Networks -- Introduction to Keras -- Stochastic Gradient Descent -- Automatic Differentiation -- Introduction to GPUs -- Introduction to Tensorflow -- Introduction to PyTorch -- Regularization Techniques -- Training Deep Learning Models
Control code
ocn982957880
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484227664
Isbn Type
(electronic bk.)
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)982957880
Label
Deep learning with Python : a hands-on introduction, Nikhil Ketkar
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references
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
Introduction to Deep Learning -- Machine Learning Fundamentals -- Feed Forward Neural Networks -- Introduction to Theano -- Convolutional Neural Networks -- Recurrent Neural Networks -- Introduction to Keras -- Stochastic Gradient Descent -- Automatic Differentiation -- Introduction to GPUs -- Introduction to Tensorflow -- Introduction to PyTorch -- Regularization Techniques -- Training Deep Learning Models
Control code
ocn982957880
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9781484227664
Isbn Type
(electronic bk.)
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)982957880

Library Locations

    • InternetBorrow it
      Albany, Auckland, 0632, NZ
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