Why Momentum Really Works

A Brief Survey of Techniques

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 $c = a^2 + b^2$. And then there's a block equation:

Math can also be quite involved:

Citations

We can[?] also cite [?, ?, ?] external publications. [?, ?, ?] . We should also be testing footnotes¹ . There are multiple footnotes, and they appear in the appendix² as well.

Displaying code snippets

Some inline javascript: var x = 25;. And here's a javascript code block.

var x = 25;
function(x){
  return x * x;
}

We also support python.

# Python 3: Fibonacci series up to n
def fib(n):
    a, b = 0, 1
    while a < n:
        print(a, end=' ')
        a, b = b, a+b

And a table

That's it for the example article!