Deep feedforward ReLU networks generalize two-layer principles via paths, piecewise linear manifolds, and continuity restriction to explain training solutions.
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On the Principles of Deep Feedforward ReLU Networks
Deep feedforward ReLU networks generalize two-layer principles via paths, piecewise linear manifolds, and continuity restriction to explain training solutions.