Pre-trained 2D LeNet-5

Pre-trained Neural Network Toolbox Model for 2D LeNet-5 Network

Amir Ebrahimi

Version 1.0.1 (255 KB)

357 Downloads

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6. Mai 2021

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In MATLAB Online öffnen

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This model achieved 98.48% accuracy on the grey-scale MNIST test set after training on its train set. It has about 62000 learnable parameters.

simply, call "lenet5TLfun()" function.

Zitieren als

Ebrahimi, Amir, et al. “Convolutional Neural Networks for Alzheimer’s Disease Detection on MRI Images.” Journal of Medical Imaging, vol. 8, no. 02, SPIE-Intl Soc Optical Eng, Apr. 2021, doi:10.1117/1.jmi.8.2.024503.

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Quellenangaben

Inspiriert von: Deep Learning Network Analyzer for Neural Network Toolbox

Inspiriert: Character recognition using LeNet-5, Pre-trained 3D LeNet-5

Kompatibilität der MATLAB-Version

Kompatibel mit R2019b und späteren Versionen

Plattform-Kompatibilität

Windows
macOS
Linux

In neuem Tab öffnen

Version	Veröffentlicht	Versionshinweise	Action
1.0.1	6. Mai 2021	The relevant paper is published.	Zip Toolbox
1.0.0	16. Feb 2021		Zip Toolbox

MLA	Ebrahimi, Amir, et al. “Convolutional Neural Networks for Alzheimer’s Disease Detection on MRI Images.” Journal of Medical Imaging, vol. 8, no. 02, SPIE-Intl Soc Optical Eng, Apr. 2021, doi:10.1117/1.jmi.8.2.024503.
APA	Ebrahimi, A., Luo, S., & Alzheimer’s Disease Neuroimaging Initiative, for the. (2021). Convolutional neural networks for Alzheimer’s disease detection on MRI images. Journal of Medical Imaging, 8(02). SPIE-Intl Soc Optical Eng. Retrieved from https://doi.org/10.1117%2F1.jmi.8.2.024503
BibTeX	@article{Ebrahimi_2021, doi = {10.1117/1.jmi.8.2.024503}, url = {https://doi.org/10.1117%2F1.jmi.8.2.024503}, year = 2021, month = {apr}, publisher = {{SPIE}-Intl Soc Optical Eng}, volume = {8}, number = {02}, author = {Amir Ebrahimi and Suhuai Luo and for the Alzheimer's Disease Neuroimaging Initiative}, title = {Convolutional neural networks for Alzheimer's disease detection on {MRI} images}, journal = {Journal of Medical Imaging} }