An Overview of Deep Neural Networks Applications: Wolfram U Class

The class shows examples of the kinds of problems that can be solved with deep neural nets or artificial intelligence, including a case study of building the ImageIdentify function.

Summary
A high-level overview of deep neural networks applications. This video lesson shows many examples of problems that can be solved with deep neural nets, including image classification, sequence prediction, speech recognition and question answering. The video includes a case study of how the ImageIdentify function was built using the Wolfram neural network framework itself. Some familiarity with Wolfram Language and neural network concepts is needed for this lesson.

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


You'll Learn To

Use neural networks for basic classification and regression problems
Recognize a variety of applications that can benefit from neural networks
See the big picture of neural net applications
Understand components of the Wolfram Language neural net framework
Understand the steps involved in building and training a neural network for the ImageIdentify function