Learning to Tackle Real-World Computer Vision Applications: Wolfram U Class

Solve real-world image processing applications by applying artificial intelligence using the deep learning framework integrated in Wolfram Language. Video class helps you leverage neural nets for your own applications.

Summary
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