Computer Vision with Neural Networks -- an Overview

Many CNNs have been created, but the following are some of the most effective designs, which are implemented in various CV tasks via transfer learning. AlexNet (2012): AlexNet includes five convolutional and three fully connected layers. It uses a dual pipeline structure to accommodate the use of two GPUs during training. It uses ReLU) instead of sigmoid or Tanh used in LeNet. GoogleNet (2014): GoogleNet (Inception V1) has 22 layers made of small groups of convolutions, called "inception modules".