Pre-trained 2D LeNet-5

Pre-trained Neural Network Toolbox Model for 2D LeNet-5 Network
285 Downloads
Updated 6 May 2021

View License

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.

Cite As

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.

View more styles
MATLAB Release Compatibility
Created with R2020b
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.1

The relevant paper is published.

1.0.0