Sequence to Sequence Learning with PyTorch

To blast off the year, we are excited to have Liling Tan, data scientist and NLP guru from Rakuten to share with us Sequence to Sequence Learning with PyTorch! *This will not be a beginner level meetup, if you are unfamilar with PyTorch / deep learning, do go through a 60 mins crash course first before attending: http://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html

Please note of our attendance policy ( https://www.meetup.com/DataScience-SG-Singapore/events/228169542/ ). Attendees are REQUIRED to RSVP to the event to be allowed into the venue. People who are neither in the "going" nor "wait" lists will be turned away. Please be considerate and update your RSVP if you are not able to make it.

Proposed Schedule & Synopsis

• 1845 - 1900: Networking

• 1900 - 2000: Sequence to Sequence (Seq2Seq) learning is a useful class of neural network model to map sequential input into an output sequence. It has been shown to work well on various task, from machine translation to interpreting Python without an interpreter. This will be a hands-on session to write an encoder-decoder Seq2Seq network using PyTorch. [Core]

• 2000-2030: Q&A, networking

Bio:

Liling is a data geek who works mostly with text processing and machine translation. He works as a research scientist at Rakuten Asia. https://www.linkedin.com/in/alvations/

RSVP

• Opens: 1200, 7th Jan 2018

• Closes: 1200, 24th Jan 2018

[] : Suggested rating and topic; ranges from:
newbie - casual - core - hardcore.