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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 pixels
2. 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…
@chrisfcarroll
www.cafe-encounter.netYou saw? Good. Goodbye.

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