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Richard Dybowski

I will give a history of artificial neural networks starting from their genesis in the 1950s with the advent of the perceptron, their reawakening in the 1980s with the back-propagation algorithm, their probabilistic reformulation during the 1990s, and their renaissance in the 2000s due to the emergence of deep-learning networks.

This description of their evolution will be done from mathematical, computational and biological perspectives.

Conference Presentation

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