{"id":297,"date":"2021-10-06T10:00:00","date_gmt":"2021-10-06T06:00:00","guid":{"rendered":"https:\/\/alphonsedevasia.com\/blog\/?p=297"},"modified":"2022-09-04T10:17:17","modified_gmt":"2022-09-04T06:17:17","slug":"natural-language-processing-with-deep-learning","status":"publish","type":"post","link":"https:\/\/alphonsedevasia.com\/blog\/natural-language-processing-with-deep-learning\/","title":{"rendered":"Natural Language Processing with Deep Learning"},"content":{"rendered":"\n

In this course from Stanford University, students will gain a thorough introduction to cutting-edge research in Deep Learning for Natural language processing (NLP).<\/p>\n\n\n

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 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.<\/p>\n\n\n\n

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.<\/p>\n\n\n

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The videos from the 2019 edition are freely available on the Stanford Online Hub<\/a><\/span> and on the YouTube channel<\/span><\/a>.<\/p>\n\n\n\n

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