
We often think of Momentum as a means of dampening oscillations and speeding up the iterations, leading to faster convergence. But it has other interesting behavior. It allows a larger range of step-sizes to be used, and creates its own oscillations. What is going on?
Before diving in: if you haven’t encountered t-SNE before, here’s what you need to know about the math behind it. The goal is to take a set of points in a high-dimensional space and find a faithful representation of those points in a lower-dimensional space, typically the 2D plane. The algorithm is non-linear and adapts to the underlying data, performing different transformations on different regions. Those differences can be a major source of confusion.
This is the first paragraph of the article. Test a long — dash -- here it is.
Test for owner's possessive. Test for "quoting a passage." And another sentence. Or two. Some flopping fins; for diving.
Here's a test of an inline equation
Math can also be quite involved:
We can
Some inline javascript:
We also support python.
And a table
| First | Second | Third |
|---|---|---|
| 23 | 654 | 23 |
| 14 | 54 | 34 |
| 234 | 54 | 23 |
That's it for the example article!
Some text describing who did what.
Some text with links describing who reviewed the article.