Namespace SiaNet

Classes

Global

Global settings for SiaNet library

History

Class to hold the neural network training information history. Useful for plotting graphs for loss and metrics. Evaluate training performance

Parameter

Placeholder variable for holding weight and bias for the neural network. Attached with constraints and regularizer to easy apply them during optimizer update operations

Sequential

The Sequential model is a linear stack of layers. Use model to add layers with Add method. Train function to train the layers with dataset. Predict function to invoke prediction against new data.