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 |