SpikeProp: Backpropagation for Networks of Spiking Neurons
First 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 ... 1 TD-Gammon Revisited 2 The TD algorithm - Model AI AssignmentsOn-line backpropagation network training model. The usual way to combine TD with neural networks is to represent the value function ?. V using a multi-layer ... How to do backpropagation in a brain - University of TorontoThis contrasts with the TD/backpropagation combination discussed in the preceding subsection, which uses separate mech- anisms for each kind of credit ...
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