Module optimizers 

Optimizers for neural network training

This module provides a comprehensive set of optimization algorithms for training neural networks, including gradient descent variants and adaptive methods with momentum, learning rate scheduling, and regularization.

Structs

AdaGrad

AdaGrad optimizer implementation

Adam

Adam optimizer implementation

SGD

SGD optimizer implementation

Enums

OptimizerConfig

Configuration for different optimizers

Traits

Optimizer

Optimizer trait for parameter updates

Functions

create_optimizer

Factory function to create optimizers from configuration