Deep neural network models such as ResNet, VGG16, and Inception can essentially be broken down into two components:
- The first component identifies the low-level content of an image, such as feature vectors (edges).
- The second component represents the high-level content of an image, such as the final image characteristics, which are an ensemble of various low-level contents. The following diagram illustrates a convolutional neural network that classifies seven classes:
The preceding diagram shows that the entire image classification neural network model can be divided into two: the convolution layer and the ...
