The Resource Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations, with Nell Watson

Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations, with Nell Watson

Label
Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations
Title
Understanding convolutional neural networks (CNNs)
Title remainder
learn how to implement CNNs to generate visualizations
Statement of responsibility
with Nell Watson
Creator
Contributor
Publisher
Speaker
Subject
Language
eng
Summary
"Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their role in visualization and image enhancement. The course covers concepts, processes, and technologies such as CNN layers and architectures. It also explains CNN image classification and segmentation, deep dream and style transfer, super-resolution, and generative adversarial networks (GANs). Learners who come to this course with a basic knowledge of deep learning principles, some computer vision experience, and exposure to engineering math should gain the ability to implement CNNs and use them to create their own visualizations."--Resource description page
Cataloging source
UMI
Characteristic
representational
LC call number
QA76.87
PerformerNote
Presenter, Nell Watson
Label
Understanding convolutional neural networks (CNNs) : learn how to implement CNNs to generate visualizations, with Nell Watson
Publication
Note
  • Title from title screen (viewed August 15, 2017)
  • Date of publication from resource description page
http://library.link/vocab/branchCode
  • net
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
on1001253437
Dimensions
unknown
Extent
1 online resource (1 streaming video file (1 hr., 48 min., 8 sec.))
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
digital, sound, color
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000884
http://library.link/vocab/recordID
.b3743553x
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
System control number
  • safari1001253437
  • (OCoLC)1001253437
Video recording format
other

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
Processing Feedback ...