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Suchergebnisse für 'training'
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11 Kurse gefunden
Machine Learning for Physicists 2023
Prof. Dr. Florian Marquardt
Vorlesung
IdM-Anmeldung
... perform diverse challenging tasks, including image recognition and natural language processing, just by
training
...
PorMatSpec - Practical
Training
2020/2021
Dr.-Ing. Marcus Fischer
Beitragsreihe
Studon
Deep Learning - Plain Version 2020/2021
Prof. Dr. Andreas Maier
Vorlesung
Frei
... amp;lt;/p> </li> <li> <p>common practices for
training
...
Deep Learning 2020/2021
Prof. Dr. Andreas Maier
Vorlesung
IdM-Anmeldung
... amp;lt;/p> </li> <li> <p>common practices for
training
...
Deep Learning - Plain Version 2020
Prof. Dr. Andreas Maier
Vorlesung
Frei
... amp;lt;/p> </li> <li> <p>common practices for
training
...
Deep Learning 2020
Prof. Dr. Andreas Maier
Vorlesung
Frei / IdM-Anmeldung
... gt;regularization strategies common practices for
training
...
Deep Learning 2019/2020
Prof. Dr. Andreas Maier
Vorlesung
Frei
... p>regularization strategies common practices for
training
...
Machine Learning for Physicists 2019
Prof. Dr. Florian Marquardt
Vorlesung
Frei
... perform diverse challenging tasks, including image recognition and natural language processing, just by
training
...
Deep Learning 2019
Prof. Dr. Andreas Maier
Vorlesung
Frei
... p>regularization strategies common practices for
training
...
Deep Learning 2018/2019
Prof. Dr. Andreas Maier
Vorlesung
Frei
... p>regularization strategies common practices for
training
...
Deep Learning 2018
Prof. Dr. Andreas Maier
Vorlesung
Frei
... lt;p>regularization strategies common practices for
training
...
180 Clips gefunden
13-FAU Alumni #JobInsights mit Daniel Kromm, Kardiologe 2024
Frei
Sonstiges
2025-03-06
... He works as a doctor in advanced
training
in the cardiology department of the Diakoniewerk Martha Maria ...
69-WinSV-Mitnutzertreffen Frühjahr 2025 2024/2025
RRZE Intern
Anleitung
2025-02-14
8-FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition 2024/2025
Frei
universitäre Vorlesung
2025-01-28
... the theoretical side of evolutionary biology (why biologists, too, need a dose of equations in their
training
...
55-Beyond the Patterns - Dr. Zongwei Zhou (Johns Hopkins University) – Body Maps: Towards 3D Atlas of Human Body 2021/2022
Frei
universitäre Vorlesung
2025-01-27
... human perception, delineate anatomical structures, and localize abnormalities in medical images, the
training
...
53-Beyond the Patterns - Prof. Dr. Xiaolin Huang (Shanghai Jiao Tong University) – Machine Learning and Machine Unlearning in the View of Generalization 2021/2022
Frei
universitäre Vorlesung
2025-01-20
... critical challenge in machine learning, particularly for deep learning models, which often achieve high
training
...
24-Test Recording - Mathematics Refresher 2024
Passwort
Kongress, Tagung
2025-01-02
0-Livestream FAU MoD Lecture 2024/2025
Frei
universitäre Vorlesung
2024-12-18
... the theoretical side of evolutionary biology (why biologists, too, need a dose of equations in their
training
...
23-Test Recording - Mathematics Refresher 2024
Passwort
Kongress, Tagung
2024-10-10
21-New videoportal test clip 1 (please don't delete) 2024
Passwort
Kongress, Tagung
2024-08-09
22-New videoportal test clip 2 (please don't delete) 2024
Passwort
Kongress, Tagung
2024-08-09
0-Geräteverleih mit Kanban 2024
RRZE Intern
Anleitung
2024-07-01
1-The Library for Freshmen in 4 Minutes 2024
Frei
Sonstiges
2024-06-21
... criticism or suggestions, contact us at: ub-auskunft@fau.de https://ub.fau.de/en/studying/advice-and-
training
...
20-H5 Ton Probleme 2024
Passwort
Kongress, Tagung
2024-05-31
4-Backpropagation Through Time (BPTT) 2023/2024
IdM-Anmeldung
Sonstiges
2023-12-05
... <p>We introduce the algorithm of Backpropagation Through Time (BPTT) for
training
...
53-HPC Cafe: Computer Architecture 101 2023
Frei
Seminar
2023-06-13
... Georg Hager, Head of
Training
& Support, NHR@FAU</p> <p>& ...
1-Machine Learning for Physicists 2023
IdM-Anmeldung
universitäre Vorlesung
2023-04-20
... perform diverse challenging tasks, including image recognition and natural language processing, just by
training
...
68-RRZE-Inventarsystem 2022/2023
RRZE Intern
Anleitung
2023-02-13
4-Backpropagation Through Time (BPTT) 2022/2023
IdM-Anmeldung
Sonstiges
2023-01-13
... <p>We introduce the algorithm of Backpropagation Through Time (BPTT) for
training
...
6-Prof. Dr. Alexander Lvovsky, University of Oxford: Neural networks for optics and optics for neural networks 2022/2023
IdM-Anmeldung / Passwort
Sonstiges
2022-11-30
... work:</p> <p>• optical neural networks and their all-optical
training
...
32-NHR PerfLab Seminar 2022-09-06: Innovative Scientific Computing by Integration of (Simulation+Data+Learning) in Information Technology Center, The University of Tokyo 2022
IdM-Anmeldung
Sonstiges
2022-06-09
... & Services, (ii) Research & Development, and (iii) Education &
Training
...
1-The quest for the perfect colour (An outreach presentation of the Collaborative Research Centre 1411 - Design of Particulate Products) 2021/2022
Frei
Sonstiges
2022-02-23
... <p>This presentation and its four contributions by members of the integrated Research
Training
...
14-On adversarial
training
and perimeter minimization problems (G. 2021/2022
Frei
Sonstiges
2022-02-16
25-Lecture 13: human-machine interaction 2: Radical Constructivism; simultaneous assessment and
training
2021/2022
IdM-Anmeldung
universitäre Vorlesung
2022-01-26
16-Michaels Upload tests 2020/2021
RRZE Intern
Veranstaltung für die Öffentlichkeit
2021-12-10
45-Beyond the Patterns - Karen Livescu (TTI Chicago): Learning Speech Models from Multi-modal Data - A survey 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2021-12-09
... representation by considering the context provided by these additional signals, or to learn with less
training
...
46-Beyond the Patterns - Mirco Ravanelli (MILA): The Speech Brain Project 2020/2021
Frei
universitäre Vorlesung
2021-12-09
... It also provides
training
recipes, pretrained models, and inference scripts for popular datasets, as ...
12-ADOP: Approximate Differentiable One-Pixel Point Rendering 2021/2022
Frei
universitäre Vorlesung
2021-11-17
... consistent novel views than existing approaches because the initial reconstruction is refined during
training
...
10-Learning Kinematic Machine Models from Videos 2021/2022
Frei
universitäre Vorlesung
2021-11-14
... Detailansicht in neuem Fenster öffnen">Learning Kinematic Machine Models from Videos for VR/AR
training
...
41-Beyond the Patterns - David B. Lindell & Julien Martel (Stanford U): Implicit Neural Representation Networks for Fitting Signals, Derivatives, and Integrals 2020/2021
Frei
universitäre Vorlesung
2021-09-14
... dB peak signal-to-noise ratio (an 1000x increase in scale over previous experiments), and we reduce
training
...
9-Kerberos 2020/2021
IdM-Anmeldung
Veranstaltung für die Öffentlichkeit
2021-07-14
35-Beyond the Patterns - Nils Thuerey – Differentiable Physics Simulations for Deep Learning 2020/2021
Frei
universitäre Vorlesung
2021-07-07
... the other hand can provide gradients for a larger space of states that are only encountered during
training
...
12-Privacy and Security 2021
Studon
universitäre Vorlesung
2021-06-30
... Processing using Homomorphic Encryption</li> <li>Privacy in Machine Learning
Training
...
21-Deeply learned regularisation for inverse problems 2021
Frei
universitäre Vorlesung
2021-06-29
... that are adapted to the inverse problems at hand by appropriately selected (and usually plenty of)
training
...
20-Deep Learning for Computed Tomography Image Reconstruction from Insufficient Data 2021
Frei
universitäre Vorlesung
2021-06-26
... for clinical applications due to the following two challenges: a) With limited access to sufficient
training
...
12-nsupervised learning by competing hidden units by Amin Heydarshahi 2021
IdM-Anmeldung
Sonstiges
2021-06-21
... <p>It is widely believed that end-to-end
training
with the backpropagation algorithm is ...
8-Lecture on June 17, 2021 (Channel Estimation Using
Training
Sequences) 2021
Studon
Sonstiges
2021-06-17
11-A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping by Badhan Das 2021
IdM-Anmeldung
Sonstiges
2021-06-14
... outperformed alternative models at explaining neural data, despite the absence of neural data during
training
...
8-Einblicke in das Management von Apple-Geräten 2020/2021
Frei
Veranstaltung für die Öffentlichkeit
2021-05-19
30-Beyond the Patterns - Jinwei Zhang (Cornell U): Probabilistic Dipole Inversion for Adaptive Quantitative Susceptibility Mapping 2020/2021
Frei
universitäre Vorlesung
2021-05-12
... Such CNN is first trained on healthy subjects via posterior density estimation, where the
training
dataset ...
1-Advantages, Challenges and Design of Blended Learning Concepts (Sónia Hetzner - FAU Erlangen-Nürnberg, Germany) 2021
Passwort
Sonstiges
2021-05-11
... she is responsible for the development, management and evaluation of technology enhanced learning and
training
...
3-Jupyter Notebooks as a powerful tool for teaching in Chemical Engineering (Samir Salameh - University of Bremen) 2021
Passwort
Sonstiges
2021-05-11
... written documents and coding environments, Jupyter Notebook offers a hugh variety for explaining and
training
...
1-Essentials in teaching particle technology and product design (Wolfgang Peukert - FAU Erlangen-Nürnberg, Germany) 2021
Passwort
Sonstiges
2021-05-10
... language=en" rel="noopener" target="_blank" title="Research
Training
Group in Disperse Systems for Printed ...
29-Beyond the Patterns - Fabian Isensee - nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation 2020/2021
Frei
universitäre Vorlesung
2021-05-05
... segmentation method that automatically configures itself, including preprocessing, network architecture,
training
...
13-On the Confluence of Deep Learning and Energy Minimization Methods for Inverse Problems 2021
IdM-Anmeldung
universitäre Vorlesung
2021-05-04
... parameterized regularizers as well as the solution of the bi-level optimization problems resulting from their
training
...
1-the Visually Impaired - Motivation, Impulse Talk Assistance for Visually Impaired, EXACT Annotation &
Training
2021
IdM-Anmeldung
Sonstiges
2021-04-16
7-Speech and Language Understanding - Classification, the EM Algorithm and GMM
Training
2021
IdM-Anmeldung
Sonstiges
2021-04-11
22-Beyond the Patterns - Udaranga Wickramasinghe - Voxel2Mesh: 3D Mesh Model Generation from Volumetric Data 2020/2021
Frei
universitäre Vorlesung
2021-03-31
... by post-processing the labeled volumes which typically introduces artifacts and prevents end-to-end
training
...
4-Pattern Recognition Symposium PRS Winter 20/21 - Mathias Öttl - Active Deep Learning for Fiber Segmentation 2020/2021
IdM-Anmeldung
Sonstiges
2021-03-04
... We have designed a method to iteratively train a neural by using user input during the
training
procedure ...
11-Pattern Recognition Symposium PRS Winter 20/21 - Frauke Wilm - How many Annotators do we need? 2020/2021
IdM-Anmeldung
Sonstiges
2021-03-04
... While
training
with individual databases resulted in highly variable F1 scores, performance ...
1-German Eritrean
Training
Partnership 2020/2021
Passwort
Sonstiges
2021-03-01
15-Beyond the Patterns - Gary Marcus - The Next Decade in AI 2020/2021
Frei
universitäre Vorlesung
2021-02-20
... artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger
training
...
14-Beyond the Patterns - Isabel Valera - Ethical Machine Learning: Mind the Assumptions! 2020/2021
Frei
universitäre Vorlesung
2021-02-12
... is essential to have a holistic view of the system, starting from the data collection process before
training
...
4-PorMatSpec - Practical
Training
- Spectroscopic Characterization 2020/2021
Studon
Anleitung
2021-02-12
11-
Training
Session for BAC oral exam 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2021-02-02
11-Seminar Meta Learning (SemMeL) - Balaka Dutta - Meta Networks 2020/2021
Frei
Sonstiges
2021-02-01
... However, the task of rapid generalization on new concepts with small
training
data while preserving performances ...
3-PorMatSpec - Practical
Training
- Non-Spectroscopic Characterization 2020/2021
Studon
Anleitung
2021-01-22
10-Seminar Meta Learning (SemMeL) - Jingwei Song - Optimization as a Model for Few-Shot Learning 2020/2021
Frei
Sonstiges
2021-01-18
... also learning a general initialization of the learner network that allows for quick convergence of
training
...
9-Seminar Meta Learning (SemMeL) - Nupur Patel - Meta-Learning with Memory-Augmented Neural Networks 2020/2021
IdM-Anmeldung / Passwort
Sonstiges
2021-01-13
... Traditional gradient-based networks require a lot of data to learn, often through extensive iterative
training
...
10-Beyond the Patterns - Markus Haltmeier - Learned Analysis and Synthesis Regularisation of Inverse Problems 2020/2021
Frei
universitäre Vorlesung
2021-01-13
... A mathematical analysis is given, possible
training
strategies are discussed and connections to related ...
2-Who is...? Professor Bernd Fitzenberger 2020/2021
Frei
Sonstiges
2020-12-22
... inequality, employment development, evaluation of labour market and education policy measures, vocational
training
...
2-PorMatSpec - Practical
Training
- MOF Synthesis and Data Presentation 2020/2021
Studon
Anleitung
2020-12-11
1-PorMatSpec - Practical
Training
- Synthesis Techniques 2020/2021
Studon
Anleitung
2020-12-07
7-Beyond the Patterns - Jong Chul Ye - GAN for Medical image Reconstruction 2020/2021
Frei
universitäre Vorlesung
2020-12-04
... ; arXiv preprint arXiv:2011.06337</p> <p><br /> Unpaired
Training
...
5-Seminar Meta Learning (SemMeL) - Nicolas Krieg - Meta Dataset - A Dataset of Datasets for Meta Learning 2020/2021
IdM-Anmeldung
Sonstiges
2020-11-30
... To address this limitation, we propose Meta-Dataset: a new benchmark for
training
and evaluating models ...
4-Seminar Meta Learning (SemMeL) - Jonas Utz - Prototypical Networks for Few-shot Learning 2020/2021
Frei
Sonstiges
2020-11-23
... few-shot classification, where a classifier must generalize to new classes not seen in the
training
...
2-Seminar Meta Learning (SemMeL) - Arka Nandi - Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2020/2021
Frei
Sonstiges
2020-11-16
... a variety of learning tasks, such that it can solve new learning tasks using only a small number of
training
...
17-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... to get a better understanding, we explore the bias-variance trade-off and look into the effects of
training
...
21-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “Batch Normalization: Accelerating Deep Network
Training
by Reducing Internal Covariate ...
25-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “Practical recommendations for gradient-based
training
of deep architectures&rdquo ...
30-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “
Training
Very Deep Networks”. ...
32-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... Learning - Recurrent Neural Networks Part 2</p> <p>This video discusses
training
...
35-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “
Training
recurrent neural networks”. ...
36-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... lt;/p> <p>This video introduces visualization for architectures and monitoring
training
...
40-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “BERT: Pre-
training
of Deep Bidirectional Transformers for Language Understanding& ...
17-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... to get a better understanding, we explore the bias-variance trade-off and look into the effects of
training
...
21-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “Batch Normalization: Accelerating Deep Network
Training
by Reducing Internal Covariate ...
25-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “Practical recommendations for gradient-based
training
of deep architectures&rdquo ...
49-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... <br /> <a href="https://youtu.be/xWqP67y3u8Y">Hyperrealism for Surgical
Training
...
50-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... “
Training
restricted Boltzmann machines: An introduction”. ...
30-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “
Training
Very Deep Networks”. ...
32-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... Learning - Recurrent Neural Networks Part 2</p> <p>This video discusses
training
...
35-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “
Training
recurrent neural networks”. ...
36-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... lt;/p> <p>This video introduces visualization for architectures and monitoring
training
...
40-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “BERT: Pre-
training
of Deep Bidirectional Transformers for Language Understanding& ...
49-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... <br /> <a href="https://youtu.be/xWqP67y3u8Y">Hyperrealism for Surgical
Training
...
50-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... “
Training
restricted Boltzmann machines: An introduction”. ...
18-Software for the OSSR - software pitches 2020
Frei
Kongress, Tagung
2020-07-27
... span></span><span class="timetable-title nested" data-anchor="4-orcanet-a-
training
-organizer ...
10-
Training
und Lernen 2020
Studon
Sonstiges
2020-06-26
49-Deep Learning - Unsupervised Learning Part 4 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-21
... <br /> <a href="https://youtu.be/xWqP67y3u8Y">Hyperrealism for Surgical
Training
...
50-Deep Learning - Unsupervised Learning Part 5 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-21
... “
Training
restricted Boltzmann machines: An introduction”. ...
50-Deep Learning - Unsupervised Learning Part 5 2020
Frei
universitäre Vorlesung
2020-06-21
... “
Training
restricted Boltzmann machines: An introduction”. ...
24-Optimisation in
Training
Artificial Neural Networks 2020
Frei
universitäre Vorlesung
2020-06-19
13-
Training
2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-17
23-
Training
Artificial Neural Networks using Backpropagation 2020
Frei
universitäre Vorlesung
2020-06-15
9-08_Pflanzensolziologie_A 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-14
10-08_Pflanzensolziologie_B 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-14
8-07_Synökologie 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-12
36-Deep Learning - Visualization Part 1 2020
Frei
universitäre Vorlesung
2020-06-09
... lt;/p> <p>This video introduces visualization for architectures and monitoring
training
...
40-Deep Learning - Visualization Part 5 2020
Frei
universitäre Vorlesung
2020-06-09
... “BERT: Pre-
training
of Deep Bidirectional Transformers for Language Understanding& ...
7-Michael Unser: Representer theorems for machine learning and inverse problems 2020
Frei
Sonstiges
2020-06-08
... <p>Regularization addresses the ill-posedness of the
training
problem in machine learning ...
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