AG Mathematics of Deep Learning /CoursesID:878

Detailed information

Keywords: functional minimization methods framework approximation control distance reconstruction energy deep search basic weights models measure layer activation problem example propagation

Most recent entry on 2021-07-26 

Lecturer

Dr. Daniel Tenbrinck

Organisational Unit

Lehrstuhl für Angewandte Mathematik

Recording type

Vortragsreihe

Via

Free / IdM-login

Language

English

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
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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More courses from Dr. Daniel Tenbrinck

Orientierungswoche Data Science 2021/2022  
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Discrete Graph Operators for Manifold-Valued Data  
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2020-11-04
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Mathematik für Data Science 2 / Physikstudierende B 2021  
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2021-07-16
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Mathematical Data Science 1 2020  
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2020-07-22
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Mathematik für Physikstudierende C 2021/2022  
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Dr. Daniel Tenbrinck
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2021-12-03
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