Learning to Tackle Real-World Computer Vision Applications
- Video Lesson
- 50 min
- Download Presentation Notebook
- Intermediate
Estimated Time: 50 min
Course Level: Intermediate
Summary
How can you apply the deep learning framework integrated in the Wolfram Language for solving real-world image processing applications? This class explores some of the depth of the Wolfram Language's neural net framework capabilities and shows how the trained networks can be tweaked to suit a wide range of complex image analysis tasks. With the help of examples, you will gain practical insights into effectively leveraging neural nets for your own applications.
Featured Products & Technologies: Wolfram Language
You'll Learn To
- Choose required resources for developing 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
