Výsledky vyhledávání - "Loroch, Dominik"

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HALF: Holistic Auto Machine Learning for FPGAs

Autor: Ney, Jonas, Loroch, Dominik, Rybalkin, Vladimir, Weber, Nico, Krüger, Jens, Wehn, Norbert

Deep Neural Networks (DNNs) are capable of solving complex problems in domains related to embedded systems, such as image and natural language processing. To efficiently implement DNNs on a specific FPGA platform for a given cost criterion, e.g. ener

Externí odkaz: http://arxiv.org/abs/2106.14771

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Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant

Autor: Loroch, Dominik Marek, Pfreundt, Franz-Josef, Wehn, Norbert, Keuper, Janis

Deep learning is finding its way into the embedded world with applications such as autonomous driving, smart sensors and aug- mented reality. However, the computation of deep neural networks is demanding in energy, compute power and memory. Various a

Externí odkaz: http://arxiv.org/abs/1808.08784

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TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization

Autor: Loroch, Dominik Marek, Wehn, Norbert, Pfreundt, Franz-Josef, Keuper, Janis

Recent research implies that training and inference of deep neural networks (DNN) can be computed with low precision numerical representations of the training/test data, weights and gradients without a general loss in accuracy. The benefit of such co

Externí odkaz: http://arxiv.org/abs/1710.05758

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