Review Article

Deep Learning for Computer Vision: A Brief Review

Table 1

Important milestones in the history of neural networks and machine learning, leading up to the era of deep learning.

Milestone/contributionContributor, year

MCP model, regarded as the ancestor of the Artificial Neural NetworkMcCulloch & Pitts, 1943
Hebbian learning ruleHebb, 1949
First perceptronRosenblatt, 1958
BackpropagationWerbos, 1974
Neocognitron, regarded as the ancestor of the Convolutional Neural NetworkFukushima, 1980
Boltzmann MachineAckley, Hinton & Sejnowski, 1985
Restricted Boltzmann Machine (initially known as Harmonium)Smolensky, 1986
Recurrent Neural NetworkJordan, 1986
AutoencodersRumelhart, Hinton & Williams, 1986
Ballard, 1987
LeNet, starting the era of Convolutional Neural NetworksLeCun, 1990
LSTMHochreiter & Schmidhuber, 1997
Deep Belief Network, ushering the “age of deep learning”Hinton, 2006
Deep Boltzmann MachineSalakhutdinov & Hinton, 2009
AlexNet, starting the age of CNN used for ImageNet classificationKrizhevsky, Sutskever, & Hinton, 2012