A Brief History of Convolutional Neural Networks
Understanding visual data is a hugely challenging task for computer programs. Before CNNs, the standard way to train a neural network to classify images was to flatten it into a list of pixels and pass it through a feed-forward neural network to output the image’s class. The problem with flattening the image is that the […]
A Brief History of Convolutional Neural Networks Read More »