Applied Deep Learning for NLP Using PyTorch

AppWorks

This month, AppWorks is hosting an AI meetup introducing Elvis Saravia, a deep learning &amp; NLP researcher at NTHU, who will be sharing his knowledge about the latest trends and best practices in applied deep learning for NLP using PyTorch. 
Elvis Saravia is a Ph.D. candidate at National Tsing Hua University in Taiwan. He is a Deep Learning and NLP researcher interested in building empathetic AI technologies. He has given multiple talks at venues such as PyConTW, RubyConf, PyTorch Developer Conference, and EMNLP. Elvis is the founder and editor of <A HREF="https://medium.com/dair-ai" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://medium.com/dair-ai</A>, a popular publication that aims to communicate about the latest AI trends, technologies, research, and perspectives. He is also an educator and a top writer on Medium in the areas of Technology, Artificial Intelligence, and Innovation.
Recent advances in natural language processing (NLP) are in large part because of big data and modern deep learning techniques such as CNNs and ELMo contextualized embeddings. In this talk, we will dive deep into the best practices of applied deep learning for NLP and also discuss the recent trends. The second block of the talk will be a demo which showcases the use of tools such as Jupyter notebooks, spaCy, and PyTorch for building NLP applications, which include fine-grained sentiment analysis, neural machine translation, and phrase generation, among others.
Language: English
Agenda:
<UL>
<LI>7:00pm - 8:00pm: Applied deep learning for NLP using PyTorch</LI>
<LI>8:00pm - 8:30pm: Q&A</LI>
<LI>8:30pm - 9:00pm: Mixer</LI>
</UL>