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.
Recorded: 8 Feb 2017
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.
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.