Part 6: Deep Learning with PyTorch
Chapter 33: Transfer Learning, Pre-Trained Models, and Fine-Tuning
Intermediate~120 min
Learning Objectives
- Load and fine-tune pre-trained models from torchvision and huggingface
- Apply pre-trained denoisers as plug-and-play priors for inverse problems
- Implement domain adaptation techniques for sim-to-real transfer
- Export models to ONNX and TorchScript for production inference
Sections
💬 Discussion
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