Fast AI for classification tasks

Tribhuvan Mishra (~tribhuvan)


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Description:

In this talk I will be talking about benefits of using Fast AI which is based on PyTorch and will compare it to other popular frameworks as well. Created by Jeremy Howard and team, Fast AI provides many benefits in text based and image based classification. It's beauty is that in very few lines of code one can do complex machine learning and deep learning tasks. I will be discussion about Fast AI by using one example for image classification task. I will give them a walkthrough of the code for image classification

Prerequisites:

Nothing as such, a basic knowledge of python and ability to understand python code will work out. It would be good if they has used PyTorch and Tensorflow before but it is not necessary at all

Speaker Info:

I have experience in AI/ML and have been working in this field since one and half year from now. I have got selected into many prestigious research internship programs hosted by premier institutes across India. I am also co-author in a book UNWIND, and I won AWS AI/ML scholarship of $700. I love speaking to people about what's going on in tech and interacting with other likeminded people out there.

Speaker Links:

My sample work:- https://python.shiksha/authors/tribhuvan/ Linkedin:- https://www.linkedin.com/in/tribhuvan0/

Section: Data Science, AI & ML
Type: Talks
Target Audience: Intermediate
Last Updated: