Tutorials and Examples

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

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

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.

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

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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

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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.

General

Deep Learning for Computer Vision Using MATLAB

Detect Defects on Printed Circuit Boards Using YOLOX Network

Time Series Forecasting Using Deep Learning

Compress Machine Fault Recognition Neural Network Using Projection

Aerial Lidar Semantic Segmentation Using RandLANet Deep Learning

Radar Target Classification Using Machine Learning and Deep Learning

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Signal Processing

Deep Learning for Signals

Investigate Audio Classifications Using Deep Learning Interpretability Techniques

Time-Frequency Convolutional Network for EEG Data Classification

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Computer Vision

Deep Learning for Computer Vision Using MATLAB

Semantic Segmentation Using Deep Learning

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Predictive Maintenance

Introduction | Predictive Maintenance, Part 1

Battery Cycle Life Prediction Using Deep Learning

Anomaly Detection in Industrial Machinery Using Three-Axis Vibration Data

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Deep Learning for Computer Vision Specialization

Enroll in Instructor-Led Courses

For those who thrive in a classroom environment, experienced MathWorks instructors teach courses on a range of AI topics both virtually and in person around the world.