Applications
Extend deep learning workflows with computer vision, image processing, automated
driving, signals, audio, text analytics, and computational finance
Use Deep Learning Toolbox™ to incorporate deep learning in computer vision, image processing, automated driving, signal processing, audio, text analytics, and computational finance applications.
Categories
- Image Processing and Computer Vision
Extend deep learning workflows with image processing, computer vision, medical imaging, lidar, and automated driving applications
- Signal Processing, Audio, and Wireless
Extend deep learning workflows with signal processing, audio processing, wireless communications, and radar processing applications
- Autonomous and Control Systems
Extend deep learning workflows with reinforcement learning, predictive maintenance, and autonomous navigation applications
- Text Analytics and Computational Finance
Extend deep learning workflows with text analytics and computational finance applications
- End-to-End AI Workflows
Use deep learning in end-to-end tasks including defining requirements, data preparation, deep neural training, compression, network testing and verification, Simulink integration, and deployment