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Deep Learning · Practical Course
Practical Deep Learning for Coders (fast.ai)
Jeremy Howard & Rachel Thomas · 2024
🆓 FreeIntermediate★★★★★0 pages
Free course + textbook teaching deep learning top-down. Build models first, understand theory later. Includes PyTorch and fastai library.
Why you should read this
The most practical DL course in the world. You build a state-of-the-art image classifier in lesson 1.
The most practical DL course in the world. You build a state-of-the-art image classifier in lesson 1.
Key Topics
Chapters (8)
1Your First Model8 key concepts
Build a pet breed classifier in 5 lines
2From Model to Production10 key concepts
Deployment, web apps, APIs
3Data Ethics8 key concepts
Bias, fairness, feedback loops
4Under the Hood14 key concepts
SGD, loss functions, from-scratch neural net
5Image Classification12 key concepts
Transfer learning, data augmentation, fine-tuning
6Other Vision10 key concepts
Segmentation, object detection, keypoints
7NLP12 key concepts
Text classification, language models
8Tabular & Collaborative10 key concepts
Embeddings, recommendation systems
Real-World Applications
- Medical image diagnosis
- Satellite image classification
- Customer churn prediction
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