If you have RGB images and want to classify them with deep learning, you're in luck - there are more tutorials on that subject than anyone could possibly work through. But what if you have multi-spectral imagery from a satellite, or four-channel audio from a forest microphone array, or maybe songs in some obscure musical notation? In this workshop, we'll be exploring ways to work with more unusual data in ways that let us apply deep learning for more interesting use cases.

Participants will leave with :

• A set of tips and tricks for wrangling unusual data into a useful form 
• The ability to build custom data pipelines with Fastai's DataBlock API

 
• Google account and internet access
• Ideally some experience using Google Colab.