THE AUDITORY MODELING TOOLBOX
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LLADO2022_TRAINNN
trains the neural network
Usage:
[net,tr] = llado2022_trainnn(x,y,hiddenLayerSize,augmentation_ratio,SNR);
Input parameters:
| x | Features of the train subset |
| y | Labels for training the network |
| hiddenLayerSize | Size of the hidden layer |
| augmentation_ratio | |
| Ratio for data augmentation stage | |
| SNR | SNR of the augmented data |
Output parameters:
| net | trained network |
| tr | training history |
Description:
llado2022_trainnn trains the neural network
References:
Lladó, Pedro, Hyvärinen, Petteri, and Pulkki, Ville. Auditory model-based estimation of the effect of head-worn devices on frontal horizontal localisation. Acta Acust., 6:1, 2022. [ DOI ]
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