Machine Learning Workshop
Introductory Machine Learning and Deep Learning Workshop
Running the Notebooks
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.
Deep Learning Fundamentals
|Linear Regression with SGD|
|Normalization & Initialization|
|BatchNorm & Adaptive Optimizers|
|DL as Representation Learning|
|Working with Images|
|Loading and Visualising NLP Data|
|Text Classification with CNN|
|Deep Dive into Self-Attention|
|Transfer Learning in NLP||WIP|
|Neural Machine Translation on TPUs|
|TF Performance Optimizations||WIP|
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.
- Only use "common" libraries
- Design to run on Google Colaboratory
- Make an effort to keep code simple and understandable
- Timothy Liu / @tlkh