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All solution notebooks for the [exercise templates](https://github.com/mrdbourke/pytorch-deep-learning/tree/main/extras/exercises).
**Note:** There may be more than one way of creating a solution for each exercise, the solutions are only one example.
You can video walkthroughs of me live-coding possible solutions (errors and all) to the notebooks on YouTube.
| **Notebook** | **Live-coding Exercise & Solution Video Walkthrough** |
| ----- | ----- |
| 02 PyTorch Neural Network Classification | https://youtu.be/ByyHwoEgF0Q |
| 03 PyTorch Computer Vision | https://youtu.be/_PibmqpEyhA |
| 04 PyTorch Custom Datasets | https://youtu.be/vsFMF9wqWx0 |
| 05 PyTorch Going Modular | https://youtu.be/ijgFhMK3pp4 |
| 06 PyTorch Transfer Learning | https://youtu.be/ueLolShyFqs |
| 07 PyTorch Experiment Tracking | https://youtu.be/cO_r2FYcAjU |
| 08 PyTorch Paper Replicating | https://youtu.be/tjpW_BY8y3g |
| 09 PyTorch Model Deployment | https://youtu.be/jOX5ZCkWO-0 |