Transcription of DEEP LEARNING - REVIEW - Pennsylvania State …
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DEEP LEARNING - REVIEW - Pennsylvania State …
deep LEARNING - REVIEWYANN LECUN, YOSHUA BENGIO & GEOFFREY deep LEARNING - History, Background & Applications. Recent Revival. Convolutional Neural Networks. Recurrent Neural Networks. IS deep LEARNING ? A particular class of LEARNING Algorithms. Rebranded Neural Networks : With multiple layers. Inspired by the Neuronal architecture of the Brain. Renewed interest in the area due to a few recent breakthroughs. Learn parameters from data. Non Linear CONTEXTHISTORY 1943 - McCulloch & Pitts develop computational model for neural network. Idea: neurons with a binary threshold activation function were analogous to first order logic sentences. 1949 - Donald Hebb proposes Hebb s ruleIdea: Neurons that fire together, wire together! 1958 - Frank Rosenblatt creates the Perceptron. 1959 - Hubel and Wiesel elaborate cells in Visual Cortex.
Source : Deep learning Yann LeCun, Yoshua Bengio, Geoffrey Hinton Nature 521, 436– 444 (28 May 2015) doi:10.1038/nature14539 . STOCHASTIC GRADIENT DESCENT.
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