Sander Dieleman on X: The way overfitting is usually taught: you underfit for a while, then at some point, you start overfitting. This phase transition perspective can be misleading. As Alex points

Lasse Elsemüller (@elseml_) / X

kaggle-courses/intro_to_deep_learning/04-overfitting-and-underfitting.ipynb at master · drakearch/kaggle-courses · GitHub

Overfitting and Underfitting — Typical problems when training a Machine Learning/Deep Learning model., by Dave (Huu-Dac) NGUYEN

a) Examples of underfitting, appropriate-fitting, and over-fitting a

Overfitting and Underfitting in Machine Learning, by Yash Goel

Overfitting and underfitting in machine learning

Overfitting and Underfitting in Machine Learning, by Yash Goel

Lasse Elsemüller (@elseml_) / X

Overfitting and Underfitting Principles in Machine Learning

Overfitting and Underfitting in Machine Learning, by Varun Goli, Mar, 2024

Overfitting & Underfitting