Character recognition using LeNet-5

Version 1.0.1 (370 KB) von Amir Ebrahimi

A deep model (LeNet-5) trained on the MNIST dataset is used for character recognition.

Verfolgen

0.0

(0)

625 Downloads

Aktualisiert 6. Mai 2021

Lizenz anzeigen

The LeNet-5 model implemented in this project has 3 convolutional layers and 2 fully-connected layers. It has 62,000 training parameters, and the image input size is 32*32. This model achieved 98.48% accuracy on the MNIST test set after training on its train set. MNIST is a dataset of handwritten digits with 70,000 centred fixed-size grey-scale images. More details about the dataset are available in:

http://yann.lecun.com/exdb/mnist

Run the GUI and select your image.

Zitieren als

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.

Mehrere Stile anzeigen

Kompatibilität der MATLAB-Version

Erstellt mit R2020b

Kompatibel mit R2019b und späteren Versionen

Plattform-Kompatibilität

Windows macOS Linux

Tags Tags hinzufügen

Quellenangaben

Inspiriert von: Pre-trained 2D LeNet-5

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

lenet5TLfun.mlx

Version	Veröffentlicht	Versionshinweise
1.0.1	6. Mai 2021	The relevant paper is published.	Toolbox Zip
1.0.0	3. Mär 2021		Toolbox Zip

MLA	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.
APA	Ebrahimi, A., Luo, S., & Alzheimer’s Disease Neuroimaging Initiative, for the. (2021). Convolutional neural networks for Alzheimer’s disease detection on MRI images. Journal of Medical Imaging, 8(02). SPIE-Intl Soc Optical Eng. Retrieved from https://doi.org/10.1117%2F1.jmi.8.2.024503
BibTeX	@article{Ebrahimi_2021, doi = {10.1117/1.jmi.8.2.024503}, url = {https://doi.org/10.1117%2F1.jmi.8.2.024503}, year = 2021, month = {apr}, publisher = {{SPIE}-Intl Soc Optical Eng}, volume = {8}, number = {02}, author = {Amir Ebrahimi and Suhuai Luo and for the Alzheimer's Disease Neuroimaging Initiative}, title = {Convolutional neural networks for Alzheimer's disease detection on {MRI} images}, journal = {Journal of Medical Imaging} }