captcha_break

Achieves over 99% accuracy on alphanumeric captchas, with specific examples demonstrating successful distinction between challenging characters like '0' and 'O'.

Provides a complete workflow from on-the-fly data generation using a custom Keras Sequence to model evaluation, making it practical for learning deep learning applications.

Implements both CNN for character classification and RNN with CTC loss for sequence recognition, showcasing modern techniques like bidirectional GRUs and GPU acceleration with CuDNNGRU.

Integrates callbacks for early stopping, model checkpointing, and CSV logging, along with multi-processing support for efficient training workflows.