Glossary: Computer Vision Basics
AdamW
An optimizer that updates a neural network's weights during training, using adaptive step sizes and weight decay. You give it the parameters to train and a learning rate, such as `lr=3e-3`.
Glossary: Computer Vision Basics
An optimizer that updates a neural network's weights during training, using adaptive step sizes and weight decay. You give it the parameters to train and a learning rate, such as `lr=3e-3`.