Tag: converges

Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks arXiv:2501.09137v1 Announce Type: cross Abstract: We study the gradient descent (GD) dynamics of a depth-2 linear neural network with a single input and output. We show that GD converges at an explicit linear rate to a global minimum of the training…