"Natural Language Processing (NLP) in Deep Learning" explores the intersection of artificial intelligence and linguistics, focusing on the application of deep learning techniques to understand, interpret, and generate human language. This theme delves into the fundamental concepts of NLP, such as language modeling, sentiment analysis, and machine translation, leveraging advanced neural networks. Participants will gain insights into the challenges and breakthroughs in the field, discovering how NLP in deep learning is reshaping communication and interaction between machines and humans.
"Natural Language Processing (NLP) in Deep Learning" delves into the dynamic field at the crossroads of artificial intelligence and linguistics, where deep learning techniques are applied to comprehend and generate human language. The theme covers essential NLP concepts, including language modeling, sentiment analysis, and machine translation, harnessing the power of advanced neural networks. Participants will explore the intricacies of deep learning in NLP, understanding how it transforms the way machines understand, interpret, and respond to language. The discussion encompasses key breakthroughs, challenges, and real-world applications, providing a comprehensive overview of the evolving landscape of NLP within the realm of deep learning.
Theme: Natural Language Processing (NLP) in Deep Learning
Schedule: Monday, 21 September 2020, 19:00 WIB
Registration: bit.ly/nusantechgenta
Speaker:
Genta Indra Winata - The Hong Kong University of Science and Technology (HKUST)
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