Dense Associative Memories and Deep Learning
Microsoft
Dense Associative Memories and Deep Learning
Dense Associative Memories are generalizations of Hopfield nets to higher order (higher than quadratic) interactions between the spins/neurons. I will describe a relationship between these models and neural networks commonly used in deep learning. From the perspective of associative memory, such models deserve attention because they make it ...
Feb 20, 2018
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