Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein

8.549 Lượt nghe

00:00

Update Required To play the media you will need to either update your browser to a recent version or update your Flash plugin.

Tải MP3

MÔ TẢ MP3TIẾP THEO

Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein

Video recording of the First Italian Summer School on Geometric Deep Learning, which took place in July 2022 in Pescara. 

Slides: https://www.sci.unich.it/geodeep2022/slides/Pescara%202022%20-%20Intro.pdf					

Những bài liên quan

1:28:35
Lecture 2: Topological Message Passing - Cristian Bodnar

5.6 N Michael Bronstein
1:10:50
Prerequisites I: Groups, Representations & Equivariance - Maurice Weiler

12.5 N Michael Bronstein
17:33
When Abandoned Mines Collapse

70.2 N Practical Engineering
2:06:38
This is why Deep Learning is really weird.

458.1 N Machine Learning Street Talk
38:27
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein

158.5 N Michael Bronstein
1:14:59
AMMI 2022 Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein

42 N Michael Bronstein
1:10:43
Зарплаты: где платят больше всего? Топ-10 стран мира | Большие деньги, безумные налоги, эмиграция

90.2 N varlamov
21:41
Planet 9 Hint // Problems for Psyche // Uranus Occultation

67.9 N Fraser Cain
59:12
AMMI Course "Geometric Deep Learning" - Lecture 1 (Introduction) - Michael Bronstein

56.5 N Michael Bronstein
55:55
Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024)

199.1 N Simons Foundation
46:32
ШЕНДЕРОВИЧ: Ударить по Красной площади? Путин чувствует себя богоизбранным. История болезни. Быков

165 N Ходорковский LIVE
40:08
The Most Important Algorithm in Machine Learning

695.4 N Artem Kirsanov
1:12:20
Theoretical Foundations of Graph Neural Networks

99.6 N Petar Veličković
1:31:51
Lecture 4: Equivariant CNNs I (Euclidean Spaces) - Maurice Weiler

3.1 N Michael Bronstein
1:25:12
Geometric Deep Learning: GNNs Beyond Permutation Equivariance

13.1 N Petar Veličković
21:39
The Cosmic Horror of True Love

151.4 N Tale Foundry
1:28:36
Lecture 3: Sheaf Neural Networks - Cristian Bodnar

7.1 N Michael Bronstein
1:11:41
Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy

817.6 N Stanford Online
51:06
Intro to graph neural networks (ML Tech Talks)

190.5 N TensorFlow
43:26
Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein

44.7 N SAIConference

Lecture 1: A Brief History of Geometric Deep Learning - Michael Bronstein

Nhạc Theo Chủ Đề

Liên kết website