Deep Learning Ups and Downs

1958: Perceptron(Linear model)

1969: Perceptron has limitation

1980s: Multi-layer perceptron

1986: Backpropagation

1989: 1 hidden layer is "good enough",why deep?

2006: RBM initialization(breakthrough) //Restricted Boltzmann Machine

 2009: GPU

2011: Start to be popular in speech recognition

2012: win ILSVRC image competition


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