An Overview of Deep Neural Networks Applications
- Video Lesson
- 23 min
- Download Presentation Notebook
- Intermediate
Estimated Time: 23 min
Course Level: Intermediate
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
