no code implementations • 25 Sep 2023 • Lisa Kuhn, Bernhard Klein, Holger Fröning
With this model we assess the importance of ordering by comparing the test accuracy of a neural network for keyword spotting, which is trained based either on an ordered model, on a non-ordered variant, and on real hardware.
no code implementations • 20 Dec 2022 • Hendrik Borras, Bernhard Klein, Holger Fröning
We then investigate the implications of additive and multiplicative noise for different classification tasks and model architectures, with and without batch normalization.
no code implementations • 15 Dec 2022 • Torben Krieger, Bernhard Klein, Holger Fröning
Moreover, we can demonstrate that a joint search and compression using pruning and quantization is superior to an individual search for policies using a single compression method.
1 code implementation • 1 Feb 2021 • Bernhard Klein, Christoph Gratl, Manfred Mücke, Holger Fröning
Machine Learning compilers like TVM allow a fast and flexible deployment on embedded CPUs.
no code implementations • 7 Jan 2020 • Wolfgang Roth, Günther Schindler, Bernhard Klein, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani
While machine learning is traditionally a resource intensive task, embedded systems, autonomous navigation, and the vision of the Internet of Things fuel the interest in resource-efficient approaches.