Speaker: Liling Tan, Research Scientist
The 'transfer learning' hype has transcended from the computer vision domain to natural language processing. This is made ever popular by the wave of language models, named after 'sesame street', ELMO, BERT, ERNIE, OSCAR, etc. This talk will cover the (i) basic understanding of language modeling, (ii) glossing over state-of-art neural net architectures for transfer learning and (iii) introducing the a transfer learning library based on PyTorch.
About the speaker:
Liling is a data geek who works mostly with text processing and machine translation. He contributes to NLTK and seeks help from StackOverflow whenever he works with Pandas dataframe.
Event Page: https://pycon.sg/
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