From the series: Deep Learning with MATLAB
Gabriel Ha, MathWorks
This demo uses MATLAB® to train a SVM classifier with features extracted, using a pretrained CNN for classifying images of four different animal types: cat, dog, deer, and frog. Images are used from the CIFAR-10 dataset (https://www.cs.toronto.edu/~kriz/cifar.html).
Recorded: 12 Apr 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.