> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-5.md). # Week 5 - Recurrent Neural Networks RNNs ## Course session Faster Coding with ChatGPT, Stackoverflow and clever search **Deep dive** * What are Embeddings? * Reinforcements of and insights into RNNs beyond Coursera **Solutions exercise RNN** Presentation from the participants of the RNN assignment from Coursera **Paddy challenge** Logistic regression baseline for the Paddy Competition {% embed url="" %} **Walk-through** Basic CNN in PyTorchLightning PyTorch 404 (Lab 04) {% embed url="" %} ## To-do 😊 Watch the videos on the next page **Build your own model(s) for the Paddy challenge and try to achieve the best accuracy. Log your results that you can present them in the class!** 😊😊 Add the the test functionality and create a submission.csv and upload it to the leaderboard --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://opencampus.gitbook.io/opencampus-machine-learning-program/courses/intermediate-machine-learning/week-5.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.