Login / Signup
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks.
Sanjeev Arora
Nadav Cohen
Noah Golowich
Wei Hu
Published in:
ICLR (Poster) (2019)
Keyphrases
</>
convergence analysis
neural network
gauss newton
global convergence
optimality conditions
newton method
cost function
objective function
learning rules
convergence rate
loss function
back propagation
artificial neural networks
global optimum
linear constraints
higher level
multi objective
genetic algorithm