Descriptor English: | Convolutional Neural Networks |
Descriptor Spanish: | Redes Neuronales Convolucionales |
Descriptor Portuguese: | Redes Neurais Convolucionais |
Descriptor French: | Without translation |
Entry term(s): |
AlexNet Convolutional Neural Network DenseNet Densely Connected Convolutional Networks EfficientNet GoogLeNet GoogLeNets LeNet LeNet 5 Convolutional Neural Network LeNet-5 Convolutional Neural Network MobileNets Neural Network, Convolutional Neural Network, Residual ResNets Residual Neural Network Residual Neural Networks VGGNet VGGNets Visual Geometry Group Network ZFNet ZFNets |
Tree number(s): |
G17.485.250 L01.224.050.375.605.250 |
RDF Unique Identifier: | https://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. |
Allowable Qualifiers: |
CL classification EC economics ES ethics HI history LJ legislation & jurisprudence SD supply & distribution SN statistics & numerical data ST standards TD trends |
Previous Indexing: |
Neural Networks, Computer (2005-2024) |
Public MeSH Note: | 2025 |
History Note: | 2025 |
DeCS ID: | 60813 |
Unique ID: | D000098415 |
Documents indexed in the Virtual Health Library (VHL): | Click here to access the VHL documents |
Date Established: | 2025/01/01 |
Date of Entry: | 2024/08/09 |
Revision Date: | 2023/11/03 |
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PHENOMENA AND PROCESSES
Mathematical Concepts [G17]Mathematical Concepts -
INFORMATION SCIENCE
Information Science [L01]Information Science
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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
Concept UI |
M000766634 |
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. |
Preferred term | Convolutional Neural Networks |
Entry term(s) |
Convolutional Neural Network Neural Network, Convolutional |
Concept UI |
M000766635 |
Preferred term | LeNet-5 Convolutional Neural Network |
Entry term(s) |
LeNet LeNet 5 Convolutional Neural Network |
Concept UI |
M000766636 |
Preferred term | AlexNet |
Concept UI |
M000766637 |
Preferred term | VGGNet |
Entry term(s) |
VGGNets Visual Geometry Group Network |
Concept UI |
M000766638 |
Preferred term | ZFNet |
Entry term(s) |
ZFNets |
Concept UI |
M000766639 |
Preferred term | GoogLeNet |
Entry term(s) |
GoogLeNets |
Concept UI |
M000766640 |
Preferred term | MobileNets |
Concept UI |
M000766641 |
Preferred term | Residual Neural Network |
Entry term(s) |
Neural Network, Residual ResNets Residual Neural Networks |
Concept UI |
M000766642 |
Preferred term | EfficientNet |
Concept UI |
M000766643 |
Preferred term | Densely Connected Convolutional Networks |
Entry term(s) |
DenseNet |
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