Fig. 4

CNN architecture for image classification, showing two convolutional layers with ReLU and batch normalization, followed by fully connected and SoftMax layers. The table provides the output shape and trainable parameters for each layer.

CNN architecture for image classification, showing two convolutional layers with ReLU and batch normalization, followed by fully connected and SoftMax layers. The table provides the output shape and trainable parameters for each layer.