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.
Notebook Title | Link |
---|---|
Linear Regression with SGD | |
Activation Functions | |
Normalization & Initialization | |
BatchNorm & Adaptive Optimizers | |
XOR Classifier | |
Hello MNIST | |
DL as Representation Learning |
Notebook Title | Link |
---|---|
Working with Images | |
Image Classification | |
Transfer Learning |
Notebook Title | Link |
---|---|
Loading and Visualising NLP Data | |
Word Embeddings | |
Text Classification with CNN | |
Exploring RNNs | |
Deep Dive into Self-Attention | |
Transfer Learning in NLP | WIP |
Notebook Title | Link |
---|---|
Hello GPU | |
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.
Simple Requirements
- Only use "common" libraries
- Design to run on Google Colaboratory
- Make an effort to keep code simple and understandable
Core Maintainer
- Timothy Liu / @tlkh
Other Authors
- Soh Jun De / @SolsticeDante
- Aiden Chia / @aidenchia
- Rishabh Anand / @rish-16