captcha

Provides runnable Lua scripts and Jupyter notebooks that allow direct experimentation with CNN and RNN models on CAPTCHA data, making it accessible for learning.

Shows a CNN-RNN architecture achieving 96% accuracy on SimpleCaptcha, offering practical insights into combining vision and sequence models for improved performance.

Documents specific accuracy scores (92% for CNN, 96% for CNN-RNN) that help benchmark model effectiveness and understand trade-offs in deep learning approaches.

Demonstrates how deep learning can break CAPTCHAs, providing valuable insights into vulnerabilities for security analysts and researchers.