AI with MATLAB: Tutorials and Examples

Whether you are new to machine learning and deep learning, looking to advance your AI skills, or want to leverage AI for your applications, explore tutorials and examples that walk you through AI workflows with MATLAB.

AI with MATLAB: Tutorials and Examples

Get Started

Advanced AI

AI Applications

Get Started with AI

With just a few lines of MATLAB code or by using low-code apps, you can create, train, and tune AI models for classification, prediction, or pattern recognition. Instead of creating a deep learning model from scratch, you can get a pretrained deep learning model, which you apply directly or adapt to your task.

Introduction to Deep Learning: Machine Learning vs. Deep Learning

Machine Learning Fundamentals | Introduction to Machine Learning, Part 1

Interactively Build, Visualize, and Edit Deep Learning Networks

Classify Data Using the Classification Learner App

Tutorials

Examples

More

Advance Your AI Skills

MATLAB provides tools for creating explainable and scalable AI models, managing AI experiments, integrating with Python^®, and ultimately designing a complete AI workflow from data preparation to deployment.

AI for Engineers: Building an AI System

Interactively Build Experiments to Fine-Tune and Compare Deep Learning Networks

Open and Explore This Interactive Example in MATLAB Online: Grad-CAM Reveals the Why Behind Deep Learning Decisions

Applied Machine Learning, Part 4: Embedded Systems

Tutorials

Examples

More

Apply AI to Your Domain

With MATLAB, you can integrate AI into your existing design in applications, such as computer vision, signal processing, predictive maintenance, and many more.