Fig. 7: Training the convolutional neural network evaluation tools.
From: Structural integrity of aging steel bridges by 3D laser scanning and convolutional neural networks
For classification models, data is distributed into a two, b three, and c five classes, while the regression model is trained on the entire data sample. The convolution neural network architecture for d the classification model with two classes, and e the regression model. In the dropout layer, the red color depicts neurons that are intentionally ignored to prevent overfitting on the training data.
