ypwhs/baiduyun_deeplearning_competition
A deep learning project using recurrent neural networks with CTC Loss to crack captchas and recognize arithmetic expressions.

This repository contains Jupyter notebooks for a deep learning competition focused on sequence recognition tasks. It implements captcha cracking using convolutional and recurrent neural networks with CTC (Connectionist Temporal Classification) Loss, which enables training without needing alignment between input and output sequences. The project also includes solutions for recognizing arithmetic expressions at both preliminary and final competition stages, using GRU networks for sequential data processing.