Deep Learning for Natural Language Processing | University of Oxford

Dive into the latest advancements in deep learning for NLP, including text analysis, speech recognition, language translation, and more. Gain a solid theoretical foundation and practical experience.

Introduction

This is an applied course focusing 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

• Introduces the mathematical definitions of the relevant machine learning models and derives their associated optimization algorithms
• Covers a wide range of NLP applications using neural networks
• Organized by Phil Blunsom and delivered in partnership with the University of Oxford

Recommendation

This course is recommended for those interested in the latest advancements in deep learning for natural language processing. It provides a solid foundation in the theoretical concepts as well as hands-on experience with practical applications.