VGLADs: The Efficient Implementation of Binary Neural Networks
نویسنده
چکیده
In the paper we describe a device based upon logic array principles but which is capable of providing many large functions. A device providing 2 of 2 variables is readily achievable with an evaluation time of the order of tens of milliseconds. By suitable programming the device is capable of emulating the function of binary weighted neural networks. Hence we are currently implementing the ADAM distributed associative memory The ADAM associative memory University of York as part of a larger scene analysis system.
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