This repository implements a Convolutional Recurrent Neural Network (CRNN) architecture with CTC loss for Chinese character recognition. The model combines CNN feature extraction with bidirectional LSTM layers to handle variable-length text sequences in images. It supports training on synthetic Chinese string datasets or custom image-label pairs, using standard deep learning components like tensorboardX for training visualization.