Introductory Machine Learning and Deep Learning Workshop

Table of Contents

• Notebooks
• Other Materials

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

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.

• Workshop Slides

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

• Timothy Liu / @tlkh

Other Authors

• Soh Jun De / @SolsticeDante
• Aiden Chia / @aidenchia