Pre-trained 2D LeNet-5
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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Riconoscimenti
Ispirato da: Deep Learning Network Analyzer for Neural Network Toolbox
Ispirato: Character recognition using LeNet-5, Pre-trained 3D LeNet-5
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Versione | Pubblicato | Note della release | |
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1.0.1 | The relevant paper is published. |
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1.0.0 |
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