ai-agent

Video-Classification Tutorial

Get video classification/action recognition using 3D CNN/CNN+RNN, ideal for founders working with video data, with a tutorial on UCF101
971 stars217 forksJupyter NotebookGuide quality 8/10Updated 12/7/2020100% free · open source
What it does

Classify videos into specific human actions using 3D CNN or CNN+RNN architectures on the UCF101 dataset

When to use it
  • Building a smart home security system that detects human activities
  • Creating an application for automated sports analysis
  • Developing a healthcare tool for monitoring patient activity levels
Ready-to-paste prompt
python3D_CNN.py --dataset UCF101 --model 3D_CNN --epochs 10 --batch_size 32
Heads up: Ensure you have the necessary GPU resources and a compatible CUDA version to run the 3D CNN model, as specified in the README
Saves to your device
Use with Claude
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Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/video-classification && curl -fsSL https://workflowstacks.com/api/skills/video-classification/claude-skill -o ~/.claude/skills/video-classification/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

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Details
Creator
HHTseng
Language
Jupyter Notebook
Category
ai-agent
Published
11/15/2018

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