Learn how to use deep learning to identify objects on a live webcam with the alexnet pretrained network
This example shows how to use transfer learning to retrain AlexNet, a pretrained convolutional neural network, to classify a new set of images.
This example shows how to create and train a simple convolutional neural network for deep learning classification.
Discover deep learning capabilities in MATLAB® using convolutional neural networks for classification and regression, including pretrained networks and transfer learning, and training on GPUs, CPUs, clusters, and clouds.
Learn how to download and use pretrained convolutional neural networks for classification, transfer learning and feature extraction.
Use apps and functions to design shallow neural networks for function fitting, pattern recognition, clustering, and time-series analysis.
Refer to additional sources of information about neural networks.
List of sample data sets to use while experimenting with the toolbox.