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Fermi-Bose Machine
Distinct from human cognitive processing, deep neural networks trained by backpropagation can be easily fooled by adversarial examples.
Equivalence between algorithmic instability and transition to replica symmetry breaking in perceptron learning systems
Binary perceptron is a fundamental model of supervised learning for the non-convex optimization, which is a root of the popular deep learning.
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