weight_decay

Description

A list of potential weight_decay values for AutoML to explore.

Weight decay, also known as L2 regularization, is a technique that penalizes large weights in neural networks. It encourages smaller, more stable weight values, which can help the model generalize better and avoid overfitting.

Each value in weight_decay must be >= 0.0.

Supported Task Types

• All

Default Values