|
11 |
Constitutive artificial neural networks
Linka, Kevin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
|
|
|
|
12 |
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Müller, Dominik. - Augsburg : Universität Augsburg, 2021
|
|
|
|
13 |
Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data
Czech, Johannes. - Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020
|
|
|
14 |
Generative Deep Neural Networks for Inverse Materials Design Using Backpropagation and Active Learning
Enthalten in Advanced science Bd. 7, 2020, Nr. 5. 10 S.
|
|
|
|
15 |
Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing
Enthalten in Advanced intelligent systems Bd. 2, 2020, Nr. 11. 20 S.
|
|
|
|
16 |
Genetic and deep learning clusters based on neural networks for management decision structures
Enthalten in Neural computing & applications 20.5.2019: 1-25
|
|
|
|
17 |
Inverting Rayleigh surface wave velocities for crustal thickness in eastern Tibet and the western Yangtze craton based on deep learning neural networks
Enthalten in Nonlinear processes in geophysics discussion 2018: 1-11
|
|
|
|
18 |
Learning Object Recognition and Object Class Segmentation with Deep Neural Networks on GPU
Schulz, Hannes. - Bonn : Universitäts- und Landesbibliothek Bonn, 2017
|
|
|
|
19 |
Pairwise decomposition with deep neural networks and multiscale kernel subspace learning for acoustic scene classification
Marchi, Erik. - Augsburg : Universität Augsburg, 2016
|
|
|
|
20 |
Inverting Rayleigh surface wave velocities for eastern Tibet and western Yangtze craton crustal thickness based on deep learning neural networks
Enthalten in Nonlinear processes in geophysics discussion 2016: 1-9
|
|
Administration
