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| author | ericmarin <maarin.eric@gmail.com> | 2026-06-21 15:38:35 +0200 |
|---|---|---|
| committer | ericmarin <maarin.eric@gmail.com> | 2026-06-26 09:57:03 +0200 |
| commit | dbdd3ea807232b0be83d6a0eba9eb13011eb48e5 (patch) | |
| tree | 308e0778743428c62032c6df0acb90a8ec06a467 /chapters/background/01-neural-networks.tex | |
| parent | 8d082714a1544de0c93f1963738b0db0e114df65 (diff) | |
| download | vein-dbdd3ea807232b0be83d6a0eba9eb13011eb48e5.tar.gz vein-dbdd3ea807232b0be83d6a0eba9eb13011eb48e5.zip | |
related work + conclusion
Diffstat (limited to 'chapters/background/01-neural-networks.tex')
| -rw-r--r-- | chapters/background/01-neural-networks.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/chapters/background/01-neural-networks.tex b/chapters/background/01-neural-networks.tex index 848f65a..a1ecad2 100644 --- a/chapters/background/01-neural-networks.tex +++ b/chapters/background/01-neural-networks.tex @@ -2,7 +2,7 @@ \label{sec:neural-networks} A neural network is a computational model inspired by biological neural networks. It consists of -connected nodes called neuron, introduced in its early form by Rosenblatt et al.~\cite{rosenblatt1958perceptron}. +connected nodes called neuron, introduced in its early form by Rosenblatt~\cite{rosenblatt1958perceptron}. \textit{Multi-Layer Perceptrons} is an architecture composed of sequential layers, trained using backpropagation as popularized by Rumelhart et al.~\cite{rumelhart1986learning}. |