Pre-trained 2D LeNet-5
Pre-trained Neural Network Toolbox Model for 2D LeNet-5 Network
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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.
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.
Acknowledgements
Inspired by: Deep Learning Network Analyzer for Neural Network Toolbox
Inspired: Character recognition using LeNet-5, Pre-trained 3D LeNet-5
General Information
- Version 1.0.1 (255 KB)
MATLAB Release Compatibility
- Compatible with R2019b and later releases
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | The relevant paper is published. |
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| 1.0.0 |
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