# Study Room

> Complete public study materials for six Semester V subjects. Plain HTML and Markdown require no JavaScript or login.

Read individual pages when the bulk text exceeds your tool limits. Equations have LaTeX text plus the original SVG. Diagram descriptions and labels come from the source; the original image/SVG remains available. Private external videos retain account access requirements.

## Complete content
- [Full library index](https://deep-learning-study-room.vercel.app/read/)
- [Complete text](https://deep-learning-study-room.vercel.app/llms-full.txt)
- [All canonical pages JSON](https://deep-learning-study-room.vercel.app/exports/content.json)
- [Every semantic reader route and alias](https://deep-learning-study-room.vercel.app/exports/routes.json)
- [All equations and diagram assets](https://deep-learning-study-room.vercel.app/exports/assets.json)
- [Readable asset index](https://deep-learning-study-room.vercel.app/read/assets/)
- [Public interface source and labels](https://deep-learning-study-room.vercel.app/exports/interface.json)
- [Export integrity manifest](https://deep-learning-study-room.vercel.app/exports/manifest.json)
- [Sitemap](https://deep-learning-study-room.vercel.app/sitemap.xml)
- [Past-paper question, unit, topic and marks analysis](https://deep-learning-study-room.vercel.app/pyq-audit/)

## Subjects
- [Deep Learning HTML](https://deep-learning-study-room.vercel.app/read/dl/)
- [Deep Learning complete Markdown](https://deep-learning-study-room.vercel.app/exports/dl.md)
- [Deep Learning source JSON](https://deep-learning-study-room.vercel.app/exports/dl.json)
- [Natural Language Processing HTML](https://deep-learning-study-room.vercel.app/read/nlp/)
- [Natural Language Processing complete Markdown](https://deep-learning-study-room.vercel.app/exports/nlp.md)
- [Natural Language Processing source JSON](https://deep-learning-study-room.vercel.app/exports/nlp.json)
- [Intelligent Systems II HTML](https://deep-learning-study-room.vercel.app/read/is2/)
- [Intelligent Systems II complete Markdown](https://deep-learning-study-room.vercel.app/exports/is2.md)
- [Intelligent Systems II source JSON](https://deep-learning-study-room.vercel.app/exports/is2.json)
- [Computer Networks HTML](https://deep-learning-study-room.vercel.app/read/cn/)
- [Computer Networks complete Markdown](https://deep-learning-study-room.vercel.app/exports/cn.md)
- [Computer Networks source JSON](https://deep-learning-study-room.vercel.app/exports/cn.json)
- [Disaster Management HTML](https://deep-learning-study-room.vercel.app/read/dm/)
- [Disaster Management complete Markdown](https://deep-learning-study-room.vercel.app/exports/dm.md)
- [Disaster Management source JSON](https://deep-learning-study-room.vercel.app/exports/dm.json)
- [Advertising & Public Relations HTML](https://deep-learning-study-room.vercel.app/read/apr/)
- [Advertising & Public Relations complete Markdown](https://deep-learning-study-room.vercel.app/exports/apr.md)
- [Advertising & Public Relations source JSON](https://deep-learning-study-room.vercel.app/exports/apr.json)

## Exam provenance and scope
These maps preserve printed marks, answer routes, current-syllabus scope and source limitations. Mapped counts include explicitly excluded or incomplete historical questions; they are not promised future-paper coverage.
- [DL question map](https://deep-learning-study-room.vercel.app/pyq-analysis.json)
- [NLP question map](https://deep-learning-study-room.vercel.app/nlp/pyq-analysis.json)
- [IS2 question map](https://deep-learning-study-room.vercel.app/is2/pyq-analysis.json)
- [CN question map](https://deep-learning-study-room.vercel.app/cn/pyq-analysis.json)
- [DM question map](https://deep-learning-study-room.vercel.app/dm/pyq-analysis.json)
- [APR question map](https://deep-learning-study-room.vercel.app/apr/pyq-analysis.json)