Pre-trained 2D LeNet-5

버전 1.0.1 (255 KB) 작성자: Amir Ebrahimi

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

팔로우

0.0

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다운로드 수: 313

업데이트 날짜: 2021/5/6

라이선스 보기

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.

인용 양식

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.

양식 더 보기

MATLAB 릴리스 호환 정보

개발 환경: R2020b

R2019b 이상 릴리스와 호환

플랫폼 호환성

Windows macOS Linux

태그 태그 추가

도움

받음: Deep Learning Network Analyzer for Neural Network Toolbox

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

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lenet5TLfun.mlx

버전	게시됨	릴리스 정보
1.0.1	2021/5/6	The relevant paper is published.	Zip Toolbox
1.0.0	2021/2/16		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} }