xxllp / NLP_Practice.PyTorch

This repository contains some NLP practices

About me

If you have any interest in deep learning and natural language processing, you can visit our open source.

Contents

Learn Deep Learning with Python in 90 Minutes

Part 1: Introduction (Deep learing, applications, and real DEMO!)

Part 2: Python

Part 3: Hands-on practice

Neural Networks

1. Convolutional Neural Networks

2. Recurrent Neural Networks

Text retrieval

Text generation

Text classification

Machine translation

Question answering

References

• Gu, Jiuxiang, et al. "Recent advances in convolutional neural networks." Pattern Recognition (2017).
• Gu, Jiuxiang, et al. "An empirical study of language cnn for image captioning." Proceedings of the International Conference on Computer Vision (ICCV). 2017.
• Gu, Jiuxiang, et al. "Stack-captioning: Coarse-to-fine learning for image captioning." AAAI-2018 Oral.
• Gu, Jiuxiang, et al. "Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models." CVPR-Spotlight (2018).