Видео ютуба по тегу How Weight Sharing Improves Generalization

L13.4 Convolutional Filters and Weight-Sharing

Neural Network Weights - Deep Learning Dictionary

Marysia Winkels: Equivariance in CNNs: how generalising the weight-sharing... | PyData Berlin 2019

17.2 Averaging Weights Leads To Wider Optima And Better Generalization

Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)

Nadav Cohen: Generalization in Deep Learning Through the Lens of Implicit Rank Minimization

Progress towards understanding generalization in Deep Learning | Gintarė Karolina Džiugaitė

machine learning optimization weight sharing and binning

Evaluating and Surgically Improving Generalization in Language Models

Weight Agnostic Neural Networks Explained!

Machine Learning Crash Course: Generalization

Weight Initialization explained | A way to reduce the vanishing gradient problem

Weights & Biases MADE EASY [2/11]

Lecture 9.1 — Overview of ways to improve generalization [Neural Networks for Machine Learning]

Yaoqing Yang - Predicting & improving generalization by measuring loss landscapes & weight matrices

Lecture 9A : Overview of ways to improve generalization

Hongyang Zhang - Understanding and improving generalization in multitask and transfer learning

Neural Networks meet Nonparametric Regression: Generalization by Weight Decay and Large...

Lecture 10/16 : Combining multiple neural networks to improve generalization

Tom Jacobs Weight Decay Controls Implicit Regularization Insights on Generalization and Sparsity