State of the Art Models in Every Machine Learning Field 2021

State-of-the-art models keep changing all the time. As someone who has been doing Kaggle competitions for almost a year now, I find myself coming across a lot of them, doing comparisons, evaluating, and testing them. I thought it would be a good idea to list the best models for each ML task so that you know where to start. Without further ado, let's get started! EfficientNetsV2 outperformed state-of-the-art image classification networks by 2% while training 5–11x times faster which is a huge improvement.