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Deep Learning tutorials in jupyter notebooks.
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.circleci Adding circleci to project Mar 1, 2018
Bayesian_stats Reinforcement Learning Section Apr 11, 2018
ReinforcementLearning Have a working policy gradients example Nov 6, 2018
binder fixing binder Feb 2, 2018
data Added stocks data Mar 24, 2018
data_science plotting tutorial Jan 6, 2019
images Added Bayesian lessons to DeepSchool Mar 24, 2018
misc Added colab instructions Jan 28, 2019
.gitignore Moved to new directory structure Mar 19, 2018 license and code of conduct Sep 1, 2017
Cheat cheat sheet Sep 1, 2017 license and code of conduct Sep 1, 2017
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LICENSE license and code of conduct Sep 1, 2017 Added colab instructions Jan 28, 2019 modified build script Apr 11, 2018 Has an option for putting a password on jupyter notebook Sep 20, 2018 Reinforcement Learning Section Apr 11, 2018


License Binder


  1. Make Deep Learning easier (minimal code).
  2. Minimise required mathematics.
  3. Make it practical (runs on laptops).
  4. Open Source Deep Learning Learning.
  5. Grow a collaborating practical community around DL.
  6. Memes: No seriously. Make DL fun and interactive, this means more Trump tweets.

Support Us

There's a few ways you can support this initiative:

  1. Right now this is very much a self funded project. If you wish to see more and more high quality tutorials and videos support us at:
  2. Subscribe to our YouTube channel here.
  3. Star this repository and share it!


The following contents are each contained within a folder:

  1. Data Science (eg. Pandas)
  2. Deep Learning (Keras)
  3. Bayesian Learning (PyMC3)


We run all our notebooks on google colab. In order to do this:

  1. Get a google account.
  2. Click on this link to take you to the google Drive folder.
  3. Go to the DL-Keras folder (or any other topic that you wish to learn).
  4. Double click on the notebook and click on, 'open with colaboratory' (You need to haved signed into Google for this).
  5. Click on the 'Runtime' tab at the top and change to python3 and GPU. Now you are all good to go.


First meetup node:

YouTube playlist

Find the corresponding video tutorial here (not all notebooks have an associated video)

You can ask questions and join the development discussion:

  • On the DeepSchool-io Slack channel. Use this link to request an invitation to the channel.
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