Deep Learning for Computer Vision Part II: Convolutional Neural Networks

A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently-developed regularization method called “dropout” that proved to be very effective.