analyzing optimization and generalization in deep learning via trajectories of gradient descent
Published 5 years ago • 3.4K plays • Length 46:27Download video MP4
Download video MP3
Similar videos
-
44:20
analyzing optimization and generalization in deep learning via dynamics of gradient descent
-
19:44
analyzing optimization and generalization in deep learning via trajectories of gradient descent
-
1:05:07
nadav cohen - analyzing optimization and generalization in dl via dynamics of gradient descent
-
49:19
geometry, optimization and generalization in multilayer networks
-
51:46
splitting gradient descent for incremental learning of neural architectures
-
45:39
on the foundations of deep learning: sgd, overparametrization, and generalization
-
53:12
interplay between optimization and generalization in deep neural networks - keerthi selvaraj
-
10:46
proxy convexity: a unified framework for the analysis of neural networks trained by gradient descent
-
15:55
risk convergence and algorithmic regularization of discrete-stepsize (stochastic) gradient descent
-
0:53
what is gradient descent in machine learning?
-
59:46
insights on gradient-based algorithms in high-dimensional learning
-
0:11
visualization of gradient descent
-
11:10
on implicit regularization in deep learning
-
0:52
gradient descent machine learning
-
44:40
studying generalization in deep learning via pac-bayes
-
0:53
stochastic gradient descent
-
15:37
on the connection between neural networks and kernels: a modern perspective - simon du
-
0:56
gradient descent with momentum