Dec 7, 2023 · We study how to narrow the gap in optimization performance between methods that calculate exact gradients and those that use directional ...

We narrow down the guessing space of gradients by using knowledge architecture and data. This is useful for backprop-free optimization of neural networks.

We study how to narrow the gap in optimization performance between methods that calculate exact gradients and those that use directional derivatives.

We begin by describing architecture-based constraints and then describe constraints based on knowledge about the relationship between gradients and activations.

Dec 7, 2023 · Therefore, the guess can only be unbiased if the covariance matrix is equal to the identity matrix in the subspace that the gradients lie in.

Nov 6, 2017 · Copy the list of colors into Excel to figure out which color corresponds to which gradient step. And you can use Google or some other tool if ...

Duration: 5:32
Posted: Jun 16, 2020

Mar 8, 2022 · Looking at the gradient field, you should be able to have a reasonable guess on the shape of the "level curves", that is, the subsets f−1({c}) ( ...

Duration: 25:05
Posted: Dec 10, 2023