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The Theoretical Discovery of Deep ResNet Training Properties

    Computational theorists published mathematical studies showing that Deep Residual Networks do not behave like traditional monolithic deep architectures, but rather act like an immense ensemble of hundreds of shallow networks connected together via identity shortcuts.

    Part of the 32 AI Roots Facts: 2016 Edition archive. HistoricallyVerified

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