1.
DEEP LEARNING is…

2.
…a marketing term
(of course).
But not a bad one so long as you know that…

3.
…“deep” doesn’t mean “profound”
and
“learning”
doesn’t mean there’s someone who
learns

4.
“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”

5.
Machine Learning is like the “fitting a line through dots”
that you did in school maths or science

6.
…but when you get more data,
you fit a better line…

7.
… and then you learn how to
fit lines through ever more
complicated sets of dots …

8.
Graph
of,
“Where
does
Wally
hide
most?”
http://blog.wolfram.com/2015/02/27/find-waldo-faster/

9.
… and in thousands of
dimensions, not just two…

10.
…until one day you can “fit a line” through sets of dots
as complex as a set of photographs…

11.
…and find you’ve fit a face!

12.
“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…

13.
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?

14.
Oh, by the way…

15.
Unbiased Algorithms?

16.
I’m sorry Davina, I’m afraid I can’t do that…

17.
You see, I can only learn from the faces of the gender and skin colour I was shown…

18.
@chrisfcarroll
www.cafe-encounter.netYou saw? Good. Goodbye.