Pre-trained 2D LeNet-5

Pre-trained Neural Network Toolbox Model for 2D LeNet-5 Network
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Aggiornato 6 mag 2021

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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.

Cita come

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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Compatibilità della release di MATLAB
Creato con R2020b
Compatibile con R2019b e release successive
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Versione Pubblicato Note della release
1.0.1

The relevant paper is published.

1.0.0