Why use MATLAB for Deep Learning?

Starting a deep learning project? Discover why you should try MATLAB first. Discover how MATLAB is the enterprise engineering platform for AI.

With just a few lines of MATLAB® code, you can incorporate deep learning into your applications whether you’re designing algorithms, preparing and labeling data, or generating code and deploying to embedded systems.

MATLAB makes it easy to move from deep learning models to real-world artificial intelligence (AI)-driven systems. Contact us for free demo and use cases.

Integrate with Python-Based Frameworks

MATLAB lets you access the latest research from anywhere by importing Tensorflow models and using ONNX capabilities. You can use a library of prebuilt models, including NASNet, SqueezeNet, Inception-v3, and ResNet-101 to get started. Calling Python from MATLAB and vice versa enables you to collaborate with colleagues who are using open source.

signal processing

Signal Processing

Acquire and analyze signals and time-series data

image processing and computer vision

Computer Vision

Acquire, process, and analyze images and video

reinforcement learning

Deep Reinforcement Learning

Define, train, and deploy reinforcement learning policies



Apply artificial intelligence techniques to radar applications



Apply artificial intelligence techniques to lidar applications


AI for Wireless

Apply AI techniques to wireless communications applications


Introducing Deep Learning with MATLAB

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