---
title: "Dense Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han"
category: "slides"
video_id: "OkEGJ5G3foU"
sourceLabels: ["Captured video frames", "Local OpenCV slide-region detection"]
---

# Dense Slides: [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han

## Source Video
[(Full Workshop) Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han](https://www.youtube.com/watch?v=OkEGJ5G3foU)

## Method
This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

## Cropped Visible Slides
No slide-like frames are visible after AI slide classification. Rejected frames remain stored as evidence and are listed below.

### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/dense-slides/OkEGJ5G3foU/slide-001.jpg) — `title_card` confidence `0.96`; intro/title card with branding and speaker name, not substantive slide content

Classification audit: `raw/sources/slide-ai-classification/dense/OkEGJ5G3foU/audit.json`