[Jun 28th 2018] LabMeeting: Learning with Architectural Constraints

Alessandro Betti (DIISM, Universities of Florence and Siena)

Oct 4, 2018 – 9:30 AM
DIISM, Artificial Intelligence laboratory (room 201), Siena SI

By and large, Backpropagation (BP) is regarded as one of the most important neural computation algorithms at the basis of the progress in machine learning, including the recent advances in deep learning. In this seminar, it is shown how to frame supervised learning in the Lagrangian framework.

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