Building Applications with the Neural Network Repository: Wolfram U

Learn to build applications using artificial intelligence and pre-trained models available in the Wolfram Neural Net Repository. Demonstrated tasks in this course: classification, feature extraction, image processing. Illustrated topics: semantic segmentation, language modeling, speech recognition, object detection.

Summary
Learn to build applications using the neural network models available in the Wolfram Neural Net Repository. This class showcases existing models in the repository and the different tasks for which they are intended, such as classification, feature extraction, image processing, regression, language modeling and more, with new models and new application areas being added all the time. Use cases showing applications built by students from Wolfram summer programs are shared. Learn to leverage available models to create your own applications.

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


You'll Learn To

Explore existing models in the Wolfram Neural Net Repository
Use the models from the repository for various machine learning tasks
Build applications using the pre-trained neural net models
Modify an existing model and retrain it for a specific use