Deep Learning Revolution

The "Deep Learning Revolution" of 2012 refers to a breakthrough in the field of artificial intelligence (AI) and specifically in the subfield of deep learning. In 2012, a team of researchers led by Geoffrey Hinton achieved a major milestone by using a deep neural network to win the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a competition in which computer programs compete to classify images into various categories. The neural network, called AlexNet, was significantly deeper and more complex than previous models, with multiple layers of neurons that learned to recognize features of images at different levels of abstraction. AlexNet's success demonstrated the power of deep learning and paved the way for many other breakthroughs in the field, including the development of more sophisticated neural networks and the use of deep learning in a wide range of applications, from computer vision to natural language processing.

Artificial Neural Networks

Experimental Epistemology