This repository provides a simplified TensorFlow implementation of character-level convolutional and recurrent neural networks for Chinese text classification. It trains on a 10-class subset of the THUCNews dataset with 50,000 training samples, 5,000 validation samples, and 10,000 test samples. The project follows classic NLP deep-learning approaches inspired by academic papers on sentence classification.