Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes [Computer Sciences]

In artificial neural networks, learning from data is a computationally demanding task in which a large number of connection weights are iteratively tuned through stochastic-gradient-based heuristic processes over a cost function. It is not well understood how learning occurs in these systems, in particular how they avoid getting trapped in...

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