A Deep Dive into NLP with PyTorch
In this tutorial, we will move a little bit beyond the standard topics
and try to give you some deeper insights into recent developments
in the field of deep learning based Natural Language Processing.
The first part of the workshop will be an introduction into the dynamic
deep learning library PyTorch. We will point out the advantages and explain the
key steps for building a basic model. In the second part, we will present
and implement a select, more advanced architecture and apply it to a
real-world data set.
The participants are not required to be familiar with PyTorch, but a good
knowledge of NLP and Python is recommended. We will provide access to a server
with notebooks containing the model code, so only a laptop is needed.
The course will be in English.