https://github.com/stared/keras-interactively-piterpy2018

Learning neural networks within Jupyter Notebook talk at PiterPy 2018
https://github.com/stared/keras-interactively-piterpy2018

Last synced: 4 months ago
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Learning neural networks within Jupyter Notebook talk at PiterPy 2018

• Host: GitHub
• URL: https://github.com/stared/keras-interactively-piterpy2018
• Owner: stared
• License: mit
• Created: 2018-10-30T12:34:08.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-25T11:44:46.000Z (over 6 years ago)
• Last Synced: 2025-01-13T19:55:57.748Z (6 months ago)
• Language: Jupyter Notebook
• Size: 2.36 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# keras-interactively-piterpy2018

[Piotr Migdał](https://p.migdal.pl/), "Learning neural networks within Jupyter Notebook" talk at [PiterPy](https://piterpy.com/) 2018

[![](talk_youtube_en.png)](https://www.youtube.com/watch?v=5T1ADUruxTo)

* Slides: https://www.dropbox.com/s/4olwdmp7a70x51w/20181103%20deep%20learning%20jupyter%20notebook%20piterpy.pdf?dl=0

* Recording:

  * **RUS** https://www.youtube.com/watch?v=qomCrfctf70

  * **ENG** https://www.youtube.com/watch?v=5T1ADUruxTo

* Code: https://github.com/stared/keras-interactively-piterpy2018/blob/master/talk.ipynb (for a slideshow with a Python kernel, I use [RISE](https://github.com/damianavila/RISE))

I started writing a course in that spirit, see: [Thinking in tensors, writing in PyTorch](https://github.com/stared/thinking-in-tensors-writing-in-pytorch).