universality of neural networks
Published Streamed 2 years ago • 759 plays • Length 17:15Download video MP4
Download video MP3
Similar videos
-
52:10
transmission neural networks: from virus spread models to neural networks
-
7:21
the universal approximation theorem of neural networks
-
12:05
transmission neural networks: from virus spread models to neural networks
-
35:15
principles of learning in distributed neural networks
-
6:25
the universal approximation theorem for neural networks
-
55:15
beyond ntk: a mean-field analysis of neural networks with polynomial width, samples, and time
-
47:11
the surprising simplicity of the early-time learning dynamics of neural networks in high dimension
-
32:32
the future of ai looks like this (& it can learn infinitely)
-
49:42
learning and generalization in over-parametrized neural networks, going beyond kernels
-
4:29
why neural networks can learn any function | the universal approximation theorem
-
51:11
ai for science interview 2: professor roarke horstmeyer | duke university
-
35:26
a mean-field theory of lazy training in two-layer neural nets: ...
-
48:40
computation in very wide neural networks
-
19:10
on the cryptographic hardness of learning one-hidden layer neural networks
-
18:55
training (overparametrized) neural networks in near-linear time
-
18:30
spotlight talk: semi-random units for learning neural networks with guarantees
-
1:33:35
neural mechanisms of vision
-
34:34
size-free generalization bounds for convolutional neural networks
-
31:44
learning one-hidden-layer neural networks with landscape design
-
55:55
miles cranmer - the next great scientific theory is hiding inside a neural network (april 3, 2024)
-
36:01
optimal neural network compressors and the manifold hypothesis