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Introductory Machine Learning and Deep Learning Workshop
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Machine Learning Workshop

Introductory Machine Learning and Deep Learning Workshop

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Table of Contents


Lab Notebook Title Link
1A EDA on Titanic Open In Colab
1B Hello GPU Open In Colab
1C MNIST Open In Colab
1D Images Open In Colab
2A Image Classification Open In Colab
2B Transfer Learning Open In Colab
3A Loading and Visualising NLP Data Open In Colab
3B Text Classification with CNN Open In Colab
3C Text Classification with RNN Open In Colab
3D Transfer Learning for NLP Open In Colab
4A Automatic Mixed Precision Open In Colab
4B Performance Optimizations Open In Colab
5A Neural Machine Translation on TPUs Open In Colab

Do note that you'll get Colab's usual warning about running an untrusted notebook. That is expected behavior for opening a third-party notebook on Colab. Just click past that.

Other Materials


Any relevant contributions are welcome! Feel free to open a pull request.

How To Contribute

You can fork this repository into your own GitHub account, then clone it into your Google Drive folder on your local computer. This way, you'll be able to push commits to your own fork, and submit a Pull Request to this repository.

Simple Requirements

  1. Only use "common" libraries
  2. Design to run on Google Colaboratory
  3. Make an effort to keep code simple and understandable

Core Maintainer

Other Authors

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