This chapter introduces the autoencoder model by explaining the relationship between encoding and decoding layers. We will be showcasing a model that belongs to the unsupervised learning family. This chapter also introduces a loss function commonly associated with the autoencoder model, and it also applies it to the dimensionality reduction of MNIST data and its visualization in an autoencoder-induced latent space.
The following topics will be covered in this chapter:
- Introduction to unsupervised learning
- Encoding and decoding layers
- Applications in dimensionality reduction and visualization
- Ethical implications of unsupervised learning
