Update README.md

dataflowr · Jul 11, 2024 · 7b34728 · 7b34728
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@@ -57,7 +57,7 @@ Slides + notebook Dogs and Cats with VGG + Practicals (more dogs and cats)
 > - [Module 8b - Collaborative filtering](https://dataflowr.github.io/website/modules/8b-collaborative-filtering/) and build your own recommender system: [08_collaborative_filtering_empty.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module8/08_collaborative_filtering_empty.ipynb) (on a larger dataset [08_collaborative_filtering_1M.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module8/08_collaborative_filtering_1M.ipynb))
 > - [Module 8c - Word2vec](https://dataflowr.github.io/website/modules/8c-word2vec/) and build your own word embedding [08_Word2vec_pytorch_empty.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module8/08_Word2vec_pytorch_empty.ipynb)
 > - [Module 16 - Batchnorm](https://dataflowr.github.io/website/modules/16-batchnorm/) and check your understanding with [16_simple_batchnorm_eval.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module16/16_simple_batchnorm_eval.ipynb) and more [16_batchnorm_simple.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module16/16_batchnorm_simple.ipynb)
-> - [Module 17 - Resnets](https://dataflowr.github.io/website/modules/17-resnets/)
+> - [Module 17 - Resnets](https://dataflowr.github.io/website/modules/17-resnets/) and transform your classifier into an out-of-distribution detector with [ODIN_mobilenet_empty.ipynb](https://github.com/dataflowr/notebooks/blob/master/Module17/ODIN_mobilenet_empty.ipynb)
 > - start of [Homework 2: Class Activation Map and adversarial examples](https://dataflowr.github.io/website/homework/2-CAM-adversarial/)
 
 <details>
@@ -163,4 +163,4 @@ For more updates: [![Twitter URL](https://img.shields.io/twitter/url/https/twitt
 If you want to run locally, follow the instructions of [Module 0 - Running the notebooks locally](https://dataflowr.github.io/website/modules/0-sotfware-installation/)
 
 ## 2020 version of the course
-Archives are available on the archive-2020 branch.
+Archives are available on the archive-2020 branch.