The Resource Deep learning and neural networks in PyTorch for beginners, Daniel We

Deep learning and neural networks in PyTorch for beginners, Daniel We

Label
Deep learning and neural networks in PyTorch for beginners
Title
Deep learning and neural networks in PyTorch for beginners
Statement of responsibility
Daniel We
Creator
Speaker
Subject
Genre
Language
eng
Summary
"Artificial intelligence (AI) is the hottest topic currently out there, there's no doubt about that. This is the future. Neural networks in particular have seen a lot of attention and they will be used everywhere -self driving cars, predictions in finance and sales forecasts - everywhere and across all industries. To be successful in the working world of tomorrow we have to expose ourselves to this interesting topic - and from the author's personal experience - coding your own neural network is the best way to understand how they work. Besides TensorFlow there is a new very interesting deep learning framework which is developed by Facebook - PyTorch. A challenge? Indeed. But together we can do it. Excited? I hope so. See you in the first lecture. Let's get into it."--Resource description page
Cataloging source
UMI
Characteristic
videorecording
http://library.link/vocab/creatorName
We, Daniel
PerformerNote
Presenter, Daniel We
Runtime
129
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Python (Computer program language)
  • Artificial intelligence
  • Machine learning
  • Artificial intelligence
  • Machine learning
  • Neural networks (Computer science)
  • Python (Computer program language)
Technique
live action
Label
Deep learning and neural networks in PyTorch for beginners, Daniel We
Instantiates
Publication
Note
Title from resource description page (Safari, viewed July 25, 2018)
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
1046057361
Dimensions
unknown
Extent
1 online resource (1 streaming video file (2 hr., 8 min., 17 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
cl0500000981
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
System control number
(OCoLC)1046057361
Video recording format
other
Label
Deep learning and neural networks in PyTorch for beginners, Daniel We
Publication
Note
Title from resource description page (Safari, viewed July 25, 2018)
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
1046057361
Dimensions
unknown
Extent
1 online resource (1 streaming video file (2 hr., 8 min., 17 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
cl0500000981
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
System control number
(OCoLC)1046057361
Video recording format
other

Library Locations

    • Ellis LibraryBorrow it
      1020 Lowry Street, Columbia, MO, 65201, US
      38.944491 -92.326012
    • Engineering Library & Technology CommonsBorrow it
      W2001 Lafferre Hall, Columbia, MO, 65211, US
      38.946102 -92.330125
Processing Feedback ...