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 |