Deep Learning: Transfer Learning in 10 lines of MATLAB Code
Editor's Note:This file was selected as MATLAB CentralPick of the Week
Learn how to use transfer learning in MATLAB to re-train deep learning networks created by experts for your own data or task.
This demo teaches you how to use transfer learning to re-train AlexNet, a pretrained deep convolutional neural network (CNN or ConvNet) to recognize snack food such as hot dogs, cup cakes and apple pie.
You can download the AlexNet support package here:
//www.tatmou.com/matlabcentral/fileexchange/59133-neural-network-toolbox-tm--model-for-alexnet-network
You can download the webcam support package here:
//www.tatmou.com/matlabcentral/fileexchange/45182-matlab-support-package-for-usb-webcams
Cite As
MathWorks Deep Learning Toolbox Team (2022).Deep Learning: Transfer Learning in 10 lines of MATLAB Code(//www.tatmou.com/matlabcentral/fileexchange/61639-deep-learning-transfer-learning-in-10-lines-of-matlab-code), MATLAB Central File Exchange. Retrieved.
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
Tags
Acknowledgements
Inspired:Training 3D CNN models
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
