Pre-trained 2D LeNet-5

版本 1.0.1 (255.4 KB) 作者: Amir Ebrahimi
Pre-trained Neural Network Toolbox Model for 2D LeNet-5 Network
320.0 次下载
更新时间 2021/5/6

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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.

引用格式

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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版本 已发布 发行说明
1.0.1

The relevant paper is published.

1.0.0