All the models that we have covered in this book up to now were based on the supervised learning paradigm; the training dataset included the input and the desired label of that input. This chapter, in contrast, focuses on the unsupervised learning paradigm. The chapter will include the following topics:
- Principal component analysis
- k-means clustering
- Self-organizing maps
- Restricted Boltzmann Machine
- Recommender system using RBM
- DBN for Emotion Detection