Deep learning, hands-on
Build and train neural networks for vision and text
Plan it around your week
This path is roughly 80 hours in total. Tell us how much time you actually have.
About 10 weeks.
Based on our own estimate of the path, not the providers' figures. Most people need a bit longer than they think.
How long does it take?
| Courses | 2 |
|---|---|
| Weeks | About 10 |
| Hours a week | 8 |
| Total hours | About 80 |
The steps, in order
Why this step: You'll have a trained model within the first sitting, then learn why it works.
You're ready for the next step when: You can train and deploy real image and text classifiers.
Why this step: Strips away the framework so you understand what's actually happening inside.
You're ready for the next step when: You can implement backpropagation and a small transformer from raw Python.
What will you build along the way?
| Project | Brief | Done when |
|---|---|---|
| Ship a classifier | Deploy a trained model as a small working web app. |
Where to go next
- Build apps with LLMs
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- Is fast.ai worth it?
Our review of fast.ai, where steps on this path are hosted.
Want the bigger picture?
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