Welcome to the wild world of generative models :) Buckle up, because we're about to move from "What's a neural network?" to "I trained a flow matching generative model using convolutional neural networks" in only two steps.
The slides for the lecture accompanying this tutorial can be found here.
- Classify: Build your first image classifier
- Generate: Train your first generative model for images
💡 No prior ML knowledge required! But be warned: this journey might be challenging. If you find yourself stuck, remember: it's not you, it's the notebook! 😉
These notebooks are your trusty guidebook through the land of JAX and generative models. You'll laugh, you'll cry, you'll write code that sometimes works! Here's what to expect:
- Frustration: It's part of the learning process. Embrace it!
- Eureka moments: They're coming, we promise!
- Fun: Enjoy the journey :)
- Solutions: Available in the
solutionsbranch of the GitHub repo. But resist the temptation! Use only in cases of extreme frustration or impending nervous breakdown. - Teaching Assistants: They're not just sleeping on zoom looking pretty. Ask them questions! They feed on your curiosity.
Ready to dive in? Click on Open in Colab and let's start our generative journey! 🏊♂️