AG Mathematics of Deep Learning /CoursesID:878
- Most recent entry on 2021-07-26
Keywords: functional minimization methods framework approximation control distance reconstruction energy deep search basic weights models measure layer activation problem example propagation

Lecturer

Prof. Dr. Daniel Tenbrinck

Organisational Unit

Lehrstuhl für Angewandte Mathematik

Recording type

Vortragsreihe

Via

Free / IdM-login

Language

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Introduction to Deep Learning preview image
Introduction to Deep Learning
Dr.-Ing. Vincent Christlein
2019-11-14
Free
01:22:04
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2
Mathematics - Deep Learning preview image
Mathematics - Deep Learning
Prof. Dr. Martin Burger
2019-12-05
Free
01:35:25
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3
Known Operator Learning - Towards Integration of Prior Knowledge into Machine Learning preview image
Known Operator Learning - Towards Integration of Prior Knowledge into Machine Learning
Prof. Dr. Andreas Maier
2020-01-09
Free
00:44:56
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4
Biomechanics meets Optimal Control: Predictions of Human Motion preview image
Biomechanics meets Optimal Control: Predictions of Human Motion
Prof. Dr. Anne Koelewijn
2020-02-13
Free
01:27:21
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5
A New Approach for Stochastic Optimization in Deep Learning preview image
A New Approach for Stochastic Optimization in Deep Learning
Dr. Lukas Pflug
2020-02-20
Free
00:31:51
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6
Introduction to Adversarial Robustness for Deep Learning preview image
Introduction to Adversarial Robustness for Deep Learning
Dr. Leo Schwinn
2020-11-11
Free
00:53:41
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7
The interplay of deep learning and control theory preview image
The interplay of deep learning and control theory
2020-12-09
Free
01:04:25
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8
Generalised Perceptron Learning preview image
Generalised Perceptron Learning
2020-12-16
Free
01:10:53
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9
Neuromorphic Computing and its Mathematical Challenges preview image
Neuromorphic Computing and its Mathematical Challenges
2021-01-13
Free
01:17:23
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10
Structure Preserving Deep Learning preview image
Structure Preserving Deep Learning
2021-01-27
Free
01:07:37
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11
Mathematical aspects of neural network approximation and learning preview image
Mathematical aspects of neural network approximation and learning
2021-04-20
Free
01:02:09
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12
Deep Learning meets Shearlets: On the Path Towards Interpretable Imaging preview image
Deep Learning meets Shearlets: On the Path Towards Interpretable Imaging
2021-04-27
Free
00:50:44
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13
On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems preview image
On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems
2021-05-04
IdM-login
00:53:30
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14
Neural Differential Equations, Control and Machine Learning preview image
Neural Differential Equations, Control and Machine Learning
2021-05-11
Free
00:57:53
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15
An Introduction to Generative Modeling preview image
An Introduction to Generative Modeling
2021-05-18
Free
00:55:59
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16
Random walks and PDEs in graph-based learning preview image
Random walks and PDEs in graph-based learning
2021-05-25
Free
01:00:32
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17
Learning with energy-based models preview image
Learning with energy-based models
2021-06-01
Free
01:04:59
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18
Learning of Wasserstein Generative Models and Patch-based Texture Synthesis preview image
Learning of Wasserstein Generative Models and Patch-based Texture Synthesis
2021-06-08
Free
01:01:40
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19
Self-supervised Learning for 3D Shape Analysis preview image
Self-supervised Learning for 3D Shape Analysis
2021-06-18
Free
00:34:20
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20
Deep Learning for Computed Tomography Image Reconstruction from Insufficient Data preview image
Deep Learning for Computed Tomography Image Reconstruction from Insufficient Data
Dr. Yixing Huang
2021-06-26
Free
00:41:12
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21
Deeply learned regularisation for inverse problems preview image
Deeply learned regularisation for inverse problems
2021-06-29
Free
00:58:36
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22
Online Learning for Optimization Problems with Unknown or Uncertain Cost Functions preview image
Online Learning for Optimization Problems with Unknown or Uncertain Cost Functions
2021-07-06
Free
00:29:47
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23
Biomechanics meets Deep Learning preview image
Biomechanics meets Deep Learning
Prof. Dr. Anne Koelewijn
2021-07-13
Free
01:10:13
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24
Accelerated Forward-Backward Optimization using Deep Learning preview image
Accelerated Forward-Backward Optimization using Deep Learning
2021-07-26
Free
00:46:52
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Orientierungswoche Data Science 2021/2022  
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Mathematical Data Science 1 2021  
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Mathematik für Data Science 2 / Physikstudierende B 2021  
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Discrete Graph Operators for Manifold-Valued Data  
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MLPDES25 • Machine Learning and PDEs Workshop  
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Prof. Dr. Daniel Tenbrinck
2025-04-30
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