Fig. 8
From: Classifying polish in use-wear analysis with convolutional neural networks

Schematic representation of a CNN architecture. The network is composed of multiple convolutional layers used for feature extraction, each followed by an activation function and pooling layer. The extracted features are then flattened and passed through fully connected (dense) layers for classification.