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  1. Introduction ✅

  2. PyTorch fundamentals ✅

  3. Pytorch Workflow ✅

  4. Neural Network Classification ✅

  5. Computer Vision ✅

  6. Custom Datasets - Obrigatorio ate aqui ✅

  7. Going Modular

  8. Transfer Learning

  9. Experiment Tracking

  10. Paper Replicating

  11. Model Deployment

  12. Pytorch 2.0

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