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Getting Started with Neural Network Toolbox

Tutorials

Try Deep Learning in 10 Lines of MATLAB Code

Learn how to use deep learning to identify objects on a live webcam with the alexnet pretrained network

Get Started with Transfer Learning

This example shows how to use transfer learning to retrain AlexNet, a pretrained convolutional neural network, to classify a new set of images.

Create Simple Deep Learning Network for Classification

This example shows how to create and train a simple convolutional neural network for deep learning classification.

Deep Networks

Deep Learning in MATLAB

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.

Pretrained Convolutional Neural Networks

Learn how to download and use pretrained convolutional neural networks for classification, transfer learning and feature extraction.

Shallow Networks

Shallow Networks for Pattern Recognition, Clustering and Time Series

Use apps and functions to design shallow neural networks for function fitting, pattern recognition, clustering, and time-series analysis.

Neural Network Toolbox Bibliography

Refer to additional sources of information about neural networks.

Neural Network Toolbox Sample Data Sets for Shallow Networks

List of sample data sets to use while experimenting with the toolbox.

Glossary

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