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mrdbourke committed Aug 26, 2022
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Expand Up @@ -35,7 +35,7 @@ Welcome to the [Zero to Mastery Learn PyTorch for Deep Learning course](https://
| [06 - PyTorch Transfer Learning](https://www.learnpytorch.io/06_pytorch_transfer_learning/) | Let's take a well performing pre-trained model and adjust it to one of our own problems. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/06_pytorch_transfer_learning/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/06_pytorch_transfer_learning.pdf) |
| [07 - Milestone Project 1: PyTorch Experiment Tracking](https://www.learnpytorch.io/07_pytorch_experiment_tracking/) | We've built a bunch of models... wouldn't it be good to track how they're all going? | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/07_pytorch_experiment_tracking/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/07_pytorch_experiment_tracking.pdf) |
| [08 - Milestone Project 2: PyTorch Paper Replicating](https://www.learnpytorch.io/08_pytorch_paper_replicating/) | PyTorch is the most popular deep learning framework for machine learning research, let's see why by replicating a machine learning paper. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/08_pytorch_paper_replicating/#exercises) | [Go to slides](https://github.com/mrdbourke/pytorch-deep-learning/blob/main/slides/08_pytorch_paper_replicating.pdf) |
| Work in progress: [09 - Milestone Project 3: Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/) | So we've built a working PyTorch model... how do we get it in the hands of others? Hint: deploy it to the internet. | Go to exercises & extra-curriculum | Go to slides |
| Work in progress: [09 - Milestone Project 3: Model Deployment](https://www.learnpytorch.io/09_pytorch_model_deployment/) | So we've built a working PyTorch model... how do we get it in the hands of others? Hint: deploy it to the internet. | [Go to exercises & extra-curriculum](https://www.learnpytorch.io/09_pytorch_model_deployment/#exercises) | Go to slides |
| [PyTorch Extra Resources](https://www.learnpytorch.io/pytorch_extra_resources/) | This course covers a large amount PyTorch and deep learning but the field of machine learning is vast, inside here you'll find recommended books and resources for: PyTorch and deep learning, ML engineering, NLP (natural language processing), time series data, where to find datasets and more. | - | - |

## Status
Expand Down Expand Up @@ -127,6 +127,7 @@ Please leave a [discussion](https://github.com/mrdbourke/pytorch-deep-learning/d

Almost daily updates of what's happening.

* 26 Aug 2022 - add finishing touchs to notebook 09, add slides for 09
* 25 Aug 2022 - add annotations and cleanup 09, remove TK's, cleanup images, make slides for 09
* 24 Aug 2022 - add annotations to 09, main takeaways, exercises and extra-curriculum done
* 23 Aug 2022 - add annotations to 09, add plenty of images/slides
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