Intro to Convolutional Neural Networks (CNNs) for prediction

Friday June 6th and 13th 11am PT/2pm ET. This is a 3-part HackHour on CNNs.

Tutorials

I will be showing tutorials developed during a machine-learning hackweek at the University of Washington: https://ocean-satellite-tools.github.io/mind-the-chl-gap/intro.html

Part I

In part I, we will learn about what CNNs are and then learn about the data and how to set up our training and testing datasets.

• The data in Zarr format
• Some vizualizations
• Data Prep for CNN
• A simple CNN

Part I

In part II, we will add a land mask to the model and add seasonality.

• Putting data in Google Object Storage
• Add Land Mask and Season

Part III

In part III, we will learn about xbatcher which will allow us to work with larger than memory data. We will also work from Colab today so you get to see how that works.

• xbatcher and Colab: Part III