Speaker: Hendrik Strobelt (IBM)
Title: Visualization for Sequence Models for Debugging and Fun
Date and time: Monday, April 23, 5-6pm
Location: 46-5165
Abstract:
Visual analysis is a great tool to explore deep learning models when there is no strong mathematical hypothesis yet
available. I will present two visual tools where we used design study methodology to allow exploration of
patterns in hidden state changes in RNNs/LSTMs (LSTMVis) and exploration of Sequence2Sequence models (Seq2Seq-Vis).
Both model types have shown superior performance for NLP like language modeling or language translation.
Examples about both tasks will be shown on a variety of models.As beautiful distraction, we also utilize data science methods to investigate large data in a more artistic way.
Formafluens is such a data experiment where we analyze a large collections of doodles made by humans in the Google
Quickdraw tool.