[HTML][HTML] Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops.
F Stelzer, A Röhm, R Vicente, I Fischer… - Nature …, 2021 - europepmc.org
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer, S Yanchuk - 2021 - digital.csic.es
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
[HTML][HTML] Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer… - Nature …, 2021 - ncbi.nlm.nih.gov
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer… - Nature …, 2021 - ui.adsabs.harvard.edu
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops
F Stelzer, A Röhm, R Vicente, I Fischer… - arXiv preprint arXiv …, 2020 - arxiv.org
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
[PDF][PDF] Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer, S Yanchuk - scholar.archive.org
Neural Networks consist of multiple layers of neurons coupled in a feed-forward architecture.
Implementing their functionality with only a single neuron requires preserving the logical …
Implementing their functionality with only a single neuron requires preserving the logical …
[PDF][PDF] Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer, S Yanchuk - depositonce.tu-berlin.de
Neural Networks consist of multiple layers of neurons coupled in a feed-forward architecture.
Implementing their functionality with only a single neuron requires preserving the logical …
Implementing their functionality with only a single neuron requires preserving the logical …
Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer… - Nature …, 2021 - econpapers.repec.org
Deep neural networks are among the most widely applied machine learning tools showing
outstanding performance in a broad range of tasks. We present a method for folding a deep …
outstanding performance in a broad range of tasks. We present a method for folding a deep …
[PDF][PDF] Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops
F Stelzer, A Röhm, R Vicente, I Fischer, S Yanchuk - core.ac.uk
Neural Networks consist of multiple layers of neurons coupled in a feed-forward architecture.
Implementing their functionality with only a single neuron requires preserving the logical …
Implementing their functionality with only a single neuron requires preserving the logical …