Deep Learning in 11 Lines of MATLAB Code
Actualizado 24 Feb 2017
MATLAB code associated with the demo in 'Deep Learning in 11 Lines of MATLAB Code' video.
This demo uses AlexNet, a pretrained deep convolutional neural network (CNN or ConvNet) that has been trained on over a million images.
The example has two parts: setting up the camera and performing object recognition. The first part shows how to use the webcam command to acquire images from the camera. Using the drawnow command, MATLAB is able to continuously update and display images taken by the camera.
You can download the webcam support package here:
The second part illustrates how to download a pretrained deep neural network called AlexNet and use MATLAB to continuously process the camera images. AlexNet takes the image as input and provides a label for the object in the image. You can experiment with objects in your surroundings to see how accurate AlexNet is.
You can download the AlexNet support package here:
MathWorks Deep Learning Toolbox Team (2023). Deep Learning in 11 Lines of MATLAB Code (https://www.mathworks.com/matlabcentral/fileexchange/60659-deep-learning-in-11-lines-of-matlab-code), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformasWindows macOS Linux
- AI, Data Science, and Statistics > Deep Learning Toolbox >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
Inspiración para: Training 3D CNN models
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