Deep Learning
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Historical perspective on neural networks • Perceptron (Rosenblatt, 1962) : linear classifier • AdaLinE (Widrow, Hoff, 1962): linear regressor • Minsky/Papert (1969): first winter • Convolutional Neural Networks (1980, 1998) : great! • Multilayer Perceptron and backprop (Rumelhart, 1986) : great! • but it is hard to train, and the SVM come in the 1990s .... : second winter • 2006 : pretraining ! • 2012 : AlexNet on Imagenet (10% better on test than the 2nd) • Now on : lot of state of the art neural networks
[1] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[2] Mohamed Chtourou,et al. On the training of recurrent neural networks , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.