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