Deep Learning with MATLAB

Deep learning often seems inaccessible to non-experts. In this video series, you’ll see how MATLAB® makes it easy for engineers and scientists to apply deep learning to their problems. Watch the short videos, explore the well-documented code, and read the detailed blog posts to quickly understand deep learning. 

Quick Start

2:38

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.

3:59

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

5:12

Training a Neural Network from Scratch with MATLAB Use MATLAB for configuring, training, and evaluating a convolutional neural network for image classification.

4:05

Transfer Learning with Neural Networks in MATLAB Use MATLAB for fine-tuning a pretrained convolutional neural network for image classification.

3:54

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.

Related Resources

Introduction to Deep Learning (3 Videos)
Deep Learning with MATLAB (Ebook)
Practical Deep Learning Examples with MATLAB (Ebook)
Get Ready for AI with MATLAB (Article)
Getting Started with Deep Neural Networks (4 Videos)
Deep Learning for Engineers (5 Videos)