[KongchangAI]
Unverified50% confidenceFactExact time

Standard backpropagation is essentially a discrete iteration of gradient descent, and when the learning rate is regarded as an infinitesimally small time step, this discrete process converges to the gradient flow ordinary differential equation dθ/dt = −∇L(θ).

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50%
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Long-term
Relevance
10/8/2026
First Seen

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