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
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.
MATLAB 版本兼容性
创建方式
R2020b
与 R2019b 及更高版本兼容
平台兼容性
Windows macOS Linux标签
致谢
参考作品: Deep Learning Network Analyzer for Neural Network Toolbox
启发作品: Character recognition using LeNet-5, Pre-trained 3D LeNet-5
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1.0.1 | The relevant paper is published. |
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1.0.0 |
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