Transformers for Document Understanding


The participants of this session would get introduced to one of the most successful deep learning architectures called transformer models, it's working mechanism and about the various applications of transformer models. This session would then introduce the concepts of document understanding, the importance of implementing AI based solutions for document understanding and would educate the learners about various techniques used for document understanding in order to make them understand how transformer models have transformed the task of document understanding in terms of both speed and accuracy.

Through this tutorial, the attendees will learn about how to work with transformer models for document data. The Open source tools that would be used are Python, deep learning models like transformer models

Background Knowledge:

Basics of machine learning and deep learning.


Vaishali is a lead data scientist at Indium Software, a leading digital engineering company. She has 9 years of experience in the advanced analytics domain. She manages a large data science team, does project planning and builds enterprise grade analytics models for various real-world usecases. As a technology evangelist, Vaishali also coaches aspiring professionals on data science, machine learning and various advanced analytics technologies like natural language processing, computer vision, deep learning etc., She holds a professional postgraduate in Artificial Intelligence & Machine Learning.

Open Data Science




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