Revisiting Weight Drop: Beyond Regularization in Modern Deep Learning
Weight decay and ℓ2 regularization are crucial in machine learning, especially to limit network capacity and reduce irrelevant weight components. ...
Weight decay and ℓ2 regularization are crucial in machine learning, especially to limit network capacity and reduce irrelevant weight components. ...
Revisiting CPU for ML in an Era of GPU ScarcityPhoto by Quino Al on UnsplashThe recent successes in ai are ...