115 citations · 587 across the 62 of their papers we have counts for
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cs.NE2017★ 44 cited
DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
Eli David, Nathan S. Netanyahu, Lior Wolf
We present an end-to-end learning method for chess, relying on deep neural networks. Without any a priori knowledge, in particular without any knowledge regarding the rules of ches…
physics.optics2017★ 18 cited
Deep Learning for Design and Retrieval of Nano-photonic Structures
Itzik Malkiel, Achiya Nagler, Michael Mrejen +3
Our visual perception of our surroundings is ultimately limited by the diffraction limit, which stipulates that optical information smaller than roughly half the illumination wavel…