Approaching Data-centric AI using Fast.ai

This blog post is part of the 100-days of Deep Learning challenge. I have started this challenge by reading the book "Deep Learning for Coders with fastai & PyTorch" by Jeremy Howard and Sylvain Gugger, to learn about the fastai library and its applications in deep learning. Fastai library is a deep learning library that adds higher-level functionalities on top of PyTorch. So this is a perfect choice of the library for quick prototyping and model building on different datasets as well as utilising the flexibility and speed of PyTorch. In this blog post, let us discuss the data-centric approach of training deep learning models.