A Deep Dive into NLP with PyTorch
In this tutorial, we will give you some deeper insights into recent developments in the field of Deep Learning NLP. The first part of the workshop will be an introduction into the dynamic deep learning library PyTorch. We will explain the key steps for building a basic model. In the second part, we will introduce how to implement more advanced architectures and apply it to real world datasets.
SLIDES: https://docs.google.com/presentation/d/1zyuwCx7knqnP-LJswlDfWSmk5FhFgFmYJGqdEZn8yhc/edit#slide=id.g33c734b530_0_656
REPO: https://github.com/scoutbee/pytorch-nlp-notebooks
EVENT:
PyData London 2019
SPEAKERS:
Jeffrey Hsu, Susannah Klanecek
PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData videos.
CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w