Deep Learning for Natural Language Processing | Oxford University

Explore the latest advancements in deep learning for natural language processing, including speech recognition, language translation, and text analysis. Gain practical experience in implementing these cutting-edge techniques.

Introduction

This is an advanced course on natural language processing that focuses on recent advances in analyzing and generating speech and text using recurrent neural networks. The course covers a range of applications of neural networks in NLP including analyzing latent dimensions in text, transcribing speech to text, translating between languages, and answering questions.

Highlights

• Covers mathematical definitions of relevant machine learning models and their optimization algorithms
• Discusses practical implementation of such models on CPU and GPU hardware
• Organized by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group

Recommendation

This course is recommended for those interested in the latest developments in deep learning for natural language processing, and who want to gain practical experience in implementing and applying these techniques.