Deep Learning Solutions
Data preparation, design, simulation, and deployment for deep neural networks
Why use MATLAB for Deep Learning?
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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 FrameworksMATLAB 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
Acquire and analyze signals and time-series data
Computer Vision
Acquire, process, and analyze images and video
Deep Reinforcement Learning
Define, train, and deploy reinforcement learning policies
Radar
Apply artificial intelligence techniques to radar applications
Lidar
Apply artificial intelligence techniques to lidar applications
AI for Wireless
Apply AI techniques to wireless communications applications
See How Others Use MATLAB for Deep Learning
Ebook
Introducing Deep Learning with MATLAB
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