Course

Unsupervised Neural Networks & Deep Learning

This course will enable learners to understand key concepts of unsupervised learning through Neural Networks and Deep Learning and their applications in recommendation systems, dimensionality reduction and other areas.

5 Lessons
Outcomes

By the end of the course, learners will be able to:

  • Get familiarized with unsupervised Deep Learning methods and the framework behind them
  • Use Self-Organizing Maps (SOM) to reduce the dimensions of the dataset
  • Use Boltzmann Machines (BM) to build the recommender system
  • Learn and implement Auto-Encoders (AE) to encode and decode data
 Level: 03
Duration: 04 Hours
Pre-requisites: Refer Topics on Mathematics
What’s next: TBD