Deep Learning with MATLAB: Transfer Learning in 10 Lines of MATLAB Code
From the series: Deep Learning with MATLAB
Joe Hicklin, MathWorks
Use MATLAB® for transfer learning, and see how it is a practical way to apply deep learning to your problems.
This demo uses transfer learning to retrain AlexNet, a pretrained deep convolutional neural network (CNN or ConvNet), to recognize snack foods such as hot dogs, cupcakes, and apple pie.
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Recorded: 8 Feb 2017
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Series: Deep Learning with MATLAB
Quick Start
Deep Learning in 11 Lines of MATLAB Code See how to use MATLAB, a simple webcam, and a deep neural network to identify objects in your surroundings. This demo uses AlexNet, a pretrained deep convolutional neural network that has been trained on over a million images.
Transfer Learning in 10 Lines of MATLAB Code Learn how to use transfer learning in MATLAB to re-train deep learning networks created by experts for your own data or task.
Tutorials
Training a Neural Network from Scratch with MATLAB Use MATLAB for configuring, training, and evaluating a convolutional neural network for image classification.
Transfer Learning with Neural Networks in MATLAB Use MATLAB for fine-tuning a pretrained convolutional neural network for image classification.
Using Feature Extraction with Neural Networks in MATLAB Use MATLAB for extracting features with a pretrained convolutional neural network and to train a support vector machine classifier for image classification.
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