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.
Inside the convolution and pooling layers of a CNN
Three classic network architectures for combining layers and increasing accuracy
Visualization in GoogleNet Inception and ResNet