The Resource Practical convolutional neural networks, Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Practical convolutional neural networks, Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari

Label
Practical convolutional neural networks
Title
Practical convolutional neural networks
Statement of responsibility
Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
Creator
Contributor
Author
Subject
Language
eng
Summary
"Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative e-commerce, and more. You will learn to create innovative solutions around image and video analytics to solve complex machine learning- and computer vision-related problems and implement real-life CNN models. This course starts with an overview of deep neural networks using image classification as an example and walks you through building your first CNN: a human face detector. You will learn to use concepts such as transfer learning with CNN and auto-encoders to build very powerful models, even when little-supervised training data for labeled images is available. Later we build upon this to build advanced vision-related algorithms for object detection, instance segmentation, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this course, you should be ready to implement advanced, effective, and efficient CNN models professionally or personally, by working on a complex image and video datasets."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
Sewak, Mohit
LC call number
QA76.87
http://library.link/vocab/relatedWorkOrContributorName
  • Karim, Rezaul
  • Pujari, Pradeep
Runtime
113
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Computer vision
  • Machine learning
  • Python (Computer program language)
Technique
live action
Label
Practical convolutional neural networks, Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781789535037
Instantiates
Publication
Note
  • Title from title screen (viewed November 26, 2018)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1076490701
Dimensions
unknown
Extent
online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000008
System control number
(OCoLC)1076490701
Video recording format
other
Label
Practical convolutional neural networks, Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari
Link
http://databases.mvlc.org/connect/safari?uiCode=&xmlId=9781789535037
Publication
Note
  • Title from title screen (viewed November 26, 2018)
  • Date of publication from resource description page
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
  • tdi
Content type MARC source
rdacontent
Control code
on1076490701
Dimensions
unknown
Extent
online resource (1 volume)
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
illustrations.
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
Stock number
CL0501000008
System control number
(OCoLC)1076490701
Video recording format
other

Library Locations

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      42.7009413 -71.1255084
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