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. 2023 Nov 27;9:e1670. doi: 10.7717/peerj-cs.1670

Table 1. Training parameters for the system with CNN architecture.

Parameters Value/type Parameters Value/type
Epochs 50 Loss
Function
Cross entropy
Momentum 0.9 Optimizer algorithms Stochastic descent gradient, Adam optimization and root mean square propagation.
Activation (input layers) Rectified linear Output layer Softmax