Deep Learning Applications

• Deep Learning with Simulink
  Extend deep learning workflows using Simulink
  
• Computer Vision Using Deep Learning
  Extend deep learning workflows with computer vision applications
  
• Image Processing Using Deep Learning
  Extend deep learning workflows with image processing applications
  
• Automated Driving Using Deep Learning
  Extend deep learning workflows with automated driving applications
  
• Lidar Processing Using Deep Learning
  Extend deep learning workflows for Lidar point cloud processing
  
• Signal Processing Using Deep Learning
  Extend deep learning workflows with signal processing applications
  
• Audio Processing Using Deep Learning
  Extend deep learning workflows with audio and speech processing applications
  
• Wireless Communications Using Deep Learning
  Extend deep learning workflows with wireless communications system applications
  
• Reinforcement Learning Using Deep Neural Networks
  Train deep neural network agents by interacting with an unknown dynamic environment
  
• Text Analytics Using Deep Learning
  Extend deep learning workflows with text analytics applications
  
• Computational Finance Using Deep Learning
  Extend deep learning workflows with computational finance applications
  

Featured Examples

Semantic Segmentation Using Deep Learning

Train a semantic segmentation network using deep learning.

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Object Detection Using YOLO v2 Deep Learning

Train a you only look once (YOLO) v2 object detector.

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Single Image Super-Resolution Using Deep Learning

Estimate a high-resolution image from a low-resolution image using a very-deep super-resolution (VDSR) neural network.

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Lidar 3-D Object Detection Using PointPillars Deep Learning

Train a PointPillars network for object detection in point clouds.

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Aerial Lidar Semantic Segmentation Using PointNet++ Deep Learning

Train a PointNet++ deep learning network to perform semantic segmentation on aerial lidar data.

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