deep learning explained in 90 seconds. plus…

DEEP LEARNING is…

…a marketing term(of course).

But not a bad one so long as you know that…

…“deep” doesn’t mean “profound”

and

“learning” doesn’t mean there’s someone who

learns

“Deep” means “our calculation network has lots of layers” [lots: ≥ 3 or 4]

“Learning” means “given more data, our algorithm will update (hopefully, improve) its calculations”

Machine Learning is like the “fitting a line through dots” that you did in school maths or

science

…but when you get more data, you fit a better line…

… and then you learn how to fit lines through ever

more complicated sets of dots …

Graph of, “Where does Wally hide most?”

http://blog.wolfram.com

/2015/02/27/find-waldo-faster/

… and in thousands of dimensions, not just two…

…until one day you can “fit a line” through sets of dots as complex as a set of photographs…

…and find you’ve fit a face!

“deepness” is about layers of “hierarchical feature learning”:

1. Learn to see dark/light contrasts & edges, given only pixels2. Then, see simple shapes given only (1)3. Then more complex shapes made out of (2)4. …continue for X layers

—this is the deep bit— …5. Until—hey presto!—you can see faces

layer 1…

…etc…layer 2…

The one-afternoon start:(if you can read some maths & python)neuralnetworksanddeeplearning.com /chap1.html

The 3 month start:coursera.org /learn/machine-learning/

How can I get started?

Oh, by the way…

Unbiased Algorithms?

I’m sorry Davina, I’m afraid I can’t do that…

You see, I can only learn from the faces of the gender and skin colour I was shown…

@chrisfcarrollwww.cafe-encounter.netYou saw? Good. Goodbye.