CNN Architectures
Applying convolutional neural networks to computer vision
CNNs are useful in extracting features from images. The following pages describe the approaches and differentiators among the most common architectures used in computer vision.
Deep Learning and Convolutional Neural Networks for Computer Vision
Inside the convolution and pooling layers of a CNN
Computer Vision CNN Architectures
Three classic network architectures for combining layers and increasing accuracy
Advanced Computer Vision CNN Architectures
Visualization in GoogleNet Inception and ResNet