filmov
tv
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
Показать описание
Lecture 2: Steerable group convolutional neural networks
Erik Bekkers
Рекомендации по теме
0:18:51
Equivariant Neural Networks | Part 1/3 - Introduction
0:19:04
Group Equivariant Deep Learning - Lecture 1.1: Introduction
0:06:55
Simple Equivariant Neural Network Visualised | Geometric Deep Learning
0:09:45
Part 4: group Equivariant convolutional networks
0:15:57
Equivariant Neural Networks | Part 2/3 - Generalized CNNs
0:24:57
Nicola Quercioli (1/13/21): Group equivariant non-expansive operators and their use in Deep Learning
0:20:46
Group Equivariant Deep Learning - Lecture 1.3: Regular group convolutional neural networks
0:11:33
Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNs
0:16:08
Group Equivariant Deep Learning - Lecture 1.5: A Brief History of G-CNNs
0:22:28
Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functions
2:09:30
Introduction to Group Equivariant Deep Learning | Erik Bekkers | Lec 3
1:52:08
UvA Deep Learning 2 (2023): Group Equivariant Deep Learning - Lecture 1
0:26:18
1.2 What Is Machine Learning (UvA - Machine Learning 1 - 2020)
0:19:22
Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutions
0:15:20
Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable Kernels
1:01:22
Clifford Group Equivariant Neural Networks | David Ruhe
0:12:34
Group Equivariant Deep Learning - Lecture 3.3: Tensor products as conditional linear layers
1:23:52
Equivariant Neural Networks (SGP Graduate School 2024)
0:08:57
Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)
0:23:27
Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)
0:18:43
Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNs
0:05:24
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
0:18:35
Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)
0:16:31
Group Equivariant Deep Learning - Lecture 1.6: Group theory (Homogeneous/quotient spaces)