Wolfram U

Learning to Tackle Real-World Computer Vision Applications

Estimated Time: 50 min

Course Level: Intermediate


How can you solve real-world image processing applications with the deep learning framework integrated into Wolfram Language? This class dives into the neural net framework's capabilities and shows how trained models can be tweaked to suit a wide range of complex image analysis tasks. Through multiple examples, you will gain practical insights into effectively leveraging neural nets for your own applications.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)

You'll Learn To

  • Find resources to develop a neural net–based image processing application
  • Tweak a pre-trained network to suit a new functionality
  • Augment training datasets by synthesizing new data
  • Retrieve an image that is visually similar to a given query image from a dataset
  • Predict the quality of an image
  • Colorize a black-and-white picture