stjordanis/machine-learning-workshop

Introductory Machine Learning and Deep Learning Workshop

Machine Learning Workshop

Introductory Machine Learning and Deep Learning Workshop

Notebooks

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

Notebook Title	Link
Linear Regression with SGD
Activation Functions
Normalization & Initialization
BatchNorm & Adaptive Optimizers
XOR Classifier
Hello MNIST
DL as Representation Learning

Computer Vision

Notebook Title	Link
Working with Images
Image Classification
Transfer Learning

Natural Language

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

Hardware Accelerators

Notebook Title	Link
Hello GPU
Neural Machine Translation on TPUs
TF Performance Optimizations	WIP

Other Materials

• Workshop Slides

Contributing

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
• Rishabh Anand / @rish-16