VGG16 Visual Geometry Group 16 Layers deep. A convolutional neural network that is 16 layers deep. Initially, VGG is a model designed to study how the depth of neural networks affects. So, the filter size of the convolution layer was fixed at the smallest 3x3. This is because if the filter size is large, the image size quickly becomes small and it is difficult to make the depth. Models before VG..
