Navigation
Skiplinks
Zum Inhalt springen
Zur Suche springen
Zur Hauptnavigation springen
Videoportal
Hauptnavigation
Kurse
Clips
Podcasts
Semester
Lehrende
FAU-Organisationen
Suche
Livestream
Hörsäle
FAQ
IdM Anmeldung
DE
Search:
Suchergebnisse für 'train'
Startseite
Suche
1 Kurse gefunden
Empirical Research Methods in Medical Engineering 2023
Dr. Birgit Popp
Vorlesung
Frei
... accompanied by practical exercises that allow students to apply the knowledge from the lectures and start
train
...
18 Clips gefunden
86-NHR PerfLab Seminar 2025-04-01: Neuromorphic Computing from the Computer Science Perspective - Algorithms and Applications 2024/2025
Frei
Sonstiges
2025-04-11
... Science from UT in 2015, where she completed her dissertation on the use of evolutionary algorithms to
train
...
63-NHR PerfLab Seminar 2024-02-27: Performance of linear solvers in tensor-
train
format on current multicore 2023/2024
Frei
Seminar
2024-03-27
... ><strong>Title</strong>: Performance of linear solvers in tensor-
train
...
2-Deep learning basics 2021/2022
IdM-Anmeldung / Passwort / Studon
Sonstiges
2021-12-21
... lt;p>We talk about deep learning basics, from perceptron to deep neural networks, and how to
train
...
40-Beyond the Patterns - Adrian Dalca - Unsupervised Learning of Image Correspondences in Medical Image Analysis 2020/2021
Frei
universitäre Vorlesung
2021-07-30
... test-time contrasts, and hyperparameter-agnostic learning for image registration that removes the need to
train
...
24-Accelerated Forward-Backward Optimization using Deep Learning 2021
Frei
universitäre Vorlesung
2021-07-26
... Rather than picking a point in this set using some predefined method, we
train
a deep neural network ...
12-nsupervised learning by competing hidden units by Amin Heydarshahi 2021
IdM-Anmeldung
Sonstiges
2021-06-21
... These learned lower-layer feature detectors can be used to
train
higher-layer weights in a usual supervised ...
15-An Introduction to Generative Modeling 2021
Frei
universitäre Vorlesung
2021-05-18
... issues limit the broader use of DGMs: given a specific dataset, it remains challenging to design and
train
...
3-Jupyter Notebooks as a powerful tool for teaching in Chemical Engineering (Samir Salameh - University of Bremen) 2021
Passwort
Sonstiges
2021-05-11
... practical knowledge in a very apparent and comprehensible way, creates an environment for students to
train
...
3-Pattern Recognition Symposium PRS Winter 20/21 - Philipp Klumpp - Phonetic Analysis of Parkinson's Disease 2020/2021
IdM-Anmeldung
Sonstiges
2021-03-04
... Our results support the assumption that pathological data is not necessarily required to
train
...
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 ...
13-Seminar Meta Learning (SemMeL) - Andre Cakici - MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records 2020/2021
IdM-Anmeldung
Sonstiges
2021-02-08
... In particular, in order to predict the target risk where there are limited data samples, we
train
a meta-learner ...
10-Seminar Meta Learning (SemMeL) - Jingwei Song - Optimization as a Model for Few-Shot Learning 2020/2021
Frei
Sonstiges
2021-01-18
... Here, we propose an LSTM-based meta-learner model to learn the exact optimization algorithm used to
train
...
7-Seminar Meta Learning (SemMeL) - Anil Bora Yayak - Neural Architecture Search with Reinforcement Learning 2020/2021
Frei
Sonstiges
2020-12-14
... In this paper, we use a recurrent network to generate the model descriptions of neural networks and
train
...
2-Seminar Meta Learning (SemMeL) - Arka Nandi - Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2020/2021
Frei
Sonstiges
2020-11-16
... The goal of meta-learning is to
train
a model on a variety of learning tasks, such that it can solve ...
50-Deep Learning 2020/2021
IdM-Anmeldung
universitäre Vorlesung
2020-10-12
... amp;gt; <a href="https://github.com/soumith/ganhacks">Link</a> - How to
train
...
50-Deep Learning - Plain Version 2020 2020/2021
Frei
universitäre Vorlesung
2020-10-12
... amp;gt; <a href="https://github.com/soumith/ganhacks">Link</a> - How to
train
...
50-Deep Learning - Unsupervised Learning Part 5 2020
IdM-Anmeldung
universitäre Vorlesung
2020-06-21
... amp;gt; <a href="https://github.com/soumith/ganhacks">Link</a> - How to
train
...
50-Deep Learning - Unsupervised Learning Part 5 2020
Frei
universitäre Vorlesung
2020-06-21
... amp;gt; <a href="https://github.com/soumith/ganhacks">Link</a> - How to
train
...
Bereit zu gehen?
×
Wählen Sie unten "Abmelden", wenn Sie bereit sind, Ihre aktuelle Sitzung zu beenden.