Posted by In this course from Stanford University, students will gain a thorough introduction to cutting-edge research in Deep Learning for Natural language processing (NLP).
NLP or computational linguistics is one of the most important technologies of the information age. Applications of NLP are everywhere because people communicate almost everything in language: web search, advertising, emails, customer service, language translation, virtual agents, medical reports, etc.
In recent years, deep learning (or neural network) approaches have obtained very high performance across many different NLP tasks, using single end-to-end neural models that do not require traditional, task-specific feature engineering. Students will learn the necessary skills to design, implement, and understand their own neural network models.
The videos from the 2019 edition are freely available on the Stanford Online Hub and on the YouTube channel.
Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modelling how machines process and share information.
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Designing, Visualizing and Understanding Deep Neural Networks