Tutorial 4: Nonlinear dimensionality reduction
Tutorial 4: Nonlinear dimensionality reduction
This tutorial covers how dimensionality reduction can be useful for visualizing and inferring structure in your data. To do this, we will compare principal component analysis (PCA) with t-SNE, a nonlinear dimensionality reduction method.
Overview of the tutorial:
- Visualize MNIST in 2D using PCA
- Visualize MNIST in 2D using t-SNE
Topics covered in this lesson
- How to visualize MNIST in 2D using PCA
- How to visualize MNIST in 2D using t-SNE
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