This is equivalent to our functions learning the same subspace as the PCA method. This means that we can interpret AEs as a dimensionality reduction method. To see this, we need to remind ourselves about the PCA method. This will be the topic of the last lecture, on Monday November 24. We will use this lecture (second lecture) to summarize the course as well. Stay tuned.