Table 3 Hyperparameter settings of ArabSignNet.

From: Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition

Components

Hyperparameters

Values

DenseNet-121

Growth Rate

12

Dropout

0.3

Learning Rate

0.001

Batch Size

32

Optimizer

Adam

EfficientNet-b0

Dropout

0.3

Learning Rate

0.001

Batch Size

32

Optimizer

Adam

ResNet-50

Attention Mechanism

SE block

Learning Rate

0.001

Batch Size

32

Optimizer

Adam

CSFOA

Dispersal Radius \((r)\)

0.2

Number of Seeds

10

Population size \(po{p}_{tree}\)

20

Number of Iteration \({M}_{t}\)

50

EL

Number of Models \({M}_{i}\)

3

Method

Averaging

Weight Assignment

Based on Accuracy