> 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/archive/intermediate-machine-learning-legacy/week-5.md). # Week 5 - Recurrent Neural Networks RNNs ## Course session Faster Coding with ChatGPT, Stackoverflow and clever search **Solutions exercise RNN** Presentation from the participants of the RNN assignment from Coursera **Deep dive** * What are Embeddings? * Reinforcements of and insights into RNNs beyond Coursera **Walk-through** PyTorch 505 Transfer Learning CNN in PyTorchLightning: {% embed url="" %} ## To-do 😊 Watch first half of Week 5 of the Coursera Course {% embed url="" %} !!! Using all techniques learned build the best model you can to achieve an accury at least above 70%. You can use Transfer Learning, Augmentation and other tricks. You can also take inspiration from fellow notebooks on Kaggle. Good ideas will be rewarded by special achievement badges for the course. Have fun and push the accuracy!😊 !!! --- # 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/archive/intermediate-machine-learning-legacy/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.