Handwritten Digit Recognition with a Back-Propagation Network
Each of the MLPs is trained using the backpropagation algorithm together with TD- learning for computing target values of afterstates, as described in ...
TD-Gammon - TU ChemnitzTD methods are somewhat like backpropagation over time to assign credit or blame of some reward to a previous state. More specifically, when the ... SpikeProp: Backpropagation for Networks of Spiking NeuronsFirst train a layer of features that receive input directly from the pixels. ? The features are trained to be good at reconstructing the pixels. Temporal difference learning for the game Tic-Tac-Toe 3Dtd est la vraie classification de l'instance d od est la réponse du ... backpropagation converge vers un minimum local (aucune garantie que le minimum ...
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