🌐 Entity
Residual neural network
Type of artificial neural network
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📌 Topics
- Cybersecurity (1)
- Artificial Intelligence (1)
- Industrial Technology (1)
🏷️ Keywords
Industrial IoT (1) · intrusion detection (1) · deep learning (1) · ResNet (1) · cyberattack (1) · EdgeHoTset (1) · SMOTE (1)
📖 Key Information
A residual neural network (also referred to as a residual network or ResNet) is a deep learning architecture in which the layers learn residual functions with reference to the layer inputs. It was developed in 2015 for image recognition, and won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) of that year.
As a point of terminology, "residual connection" refers to the specific architectural motif of
x
↦
f
(
x
)
+
x
{\displaystyle x\mapsto f(x)+x}
, where
f
{\displaystyle f}
is an arbitrary neural network module.
📰 Related News (1)
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🇺🇸 Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments
arXiv:2604.06481v1 Announce Type: cross Abstract: This study introduces a hybrid deep learning model for intrusion detection in Industrial IoT (IIoT)...
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