Graph Hyper Network (GHN-2)
Who Needs Training? Graph neural network selects optimal weights for image tasks.
When you’re training a neural network, it takes a lot of computation to optimize its weights using an iterative algorithm like stochastic gradient descent. Wouldn’t it be great to compute the best parameter values in one pass? A new method takes a substantial step in that direction.
