Machine Learning, Data Science, Algorithms, Dimensionality Reduction, Cheatsheet.
the input layer. Autoencoder Structure. Public Domain If we use a linear activation function, we will get linear dimensionality reduction rules, like PCA. But if we use nonlinear activation functions, we can get more complex latent representations. Unfortunately, we have to have a lot of data.