Expand description
This module focuses on developing lazy trainers for neural networks.
Modules§
- error
- trainer
- this module provides the
Trainerimplementation, which is a generic, lazy trainer for neural networks. It is designed to be flexible and extensible, allowing for the implementation of various training algorithms and strategies. The trainer is built on top of theTraintrait, which defines the core training functionality. The trainer can be used to train neural networks with different configurations and parameters, making it a versatile tool for neural network training.
Structs§
Enums§
- Training
Error - The
TrainingErrortype enumerates the various errors that can occur during the training process.
Traits§
- Model
Trainer - Train
- This trait defines the training process for the network