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Convolutional Neural Networks MeSH Descriptor Data 2025


MeSH Heading
Convolutional Neural Networks
Tree Number(s)
G17.485.250
L01.224.050.375.605.250
Unique ID
D000098415
RDF Unique Identifier
http://id.nlm.nih.gov/mesh/D000098415
Scope Note
Artificial neural networks designed to automatically learn features through the use of sequence of layers which transform one volume to the next. Convolutional neural networks initially produce a feature map by use of convolution layers consisting of a set of learnable filters convolved with input, i.e., having smaller widths and heights and the same depth as that of input volume.
Entry Term(s)
AlexNet
DenseNet
Densely Connected Convolutional Networks
EfficientNet
GoogLeNet
LeNet
LeNet-5 Convolutional Neural Network
MobileNets
ResNets
Residual Neural Network
VGGNet
Visual Geometry Group Network
ZFNet
Previous Indexing
Neural Networks, Computer (2005-2024)
Public MeSH Note
2025
History Note
2025
Date Established
2025/01/01
Date of Entry
2024/08/09
Revision Date
2023/11/03
Convolutional Neural Networks Preferred
LeNet-5 Convolutional Neural Network Narrower
AlexNet Narrower
VGGNet Narrower
ZFNet Narrower
GoogLeNet Narrower
MobileNets Narrower
Residual Neural Network Narrower
EfficientNet Narrower
Densely Connected Convolutional Networks Narrower
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