DataHour: Deep Dive on Transformers

About the DataHour:

In the past few years, NLP has been revolutionized with the advent of Transformers, due to improvement in accuracy, ability to handle long-range dependencies, its parallel processing capability, ability to efficiently process sequence of inputs.

One of the most famous uses of transformer architecture is OpenAI’s GPT-3 [ Generative Pretrained Transformer 3]. 

In this Datahour, Arjun will make you all dive deep into the architecture of transformers, including the key components of self-attention mechanisms and feed-forward networks. He will also discuss the advantages of the transformer architecture, such as its ability to handle large amounts of data and its parallel processing capabilities.

Prerequisites: Basic understanding of Neural Networks and a strong enthusiasm in Data Science

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Note: E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.

Speaker:

Arjun Janamatti

Data Scientist at Schneider Electric

Arjun is currently working as a Data Scientist in a fortune 500 company, with 12+ years of diverse industrial experience. He has expertise in leveraging statistics, Data Science, Data driven insights & AI at scale to drive transformation and deliver business impact across multiple partners globally.

Along with professional work, he is an avid open source contributor with more than 4 libraries in python packages, and historically worked as an individual contributor to 10 projects in the freelance market.

Connect with him on Linkedin.