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Luis Serrano
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Convolutional neural networks Slides for this video: https://www.youtube.com/watch?v=2-Ol7ZB0MmU
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Luis Serrano
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Convolutional neural neworks
1.
Luis Serrano A friendly
introduction to Convolutional Neural Networks and Image Recognition
2.
Person AlphabetComputer /
/ / ! Simple World
3.
Simple World 1 11 1
4.
Simple World /
5.
Keyboard
6.
Image recognition software /
7.
-1 1 1 -1 1
-1 -1 1 / 1 -1 -1 1 -1 1 1 -1 + + - - + -+ - + - +- + - +- = 4 = -4 +1 +1 +1+1 -1 -1 -1-1 + + + = 0 + + + = 0 x x x = 1 x x x = 1
8.
+ - - + Image
Recognition Classifier If positive, “” If negative, “/”
9.
-1 -1 1 -1 1
1 -1 1
10.
-1 -1 1 -1 1
1 -1 1 / + + - - + -+ - 1 1 -1 1 -1 -1 1 -1 = 2 = -2 +1 -1 +1+1 -1 +1 -1-1 + - +- + - +-
11.
Artificial Intelligence ? = =
/ + - - +
12.
Artificial Intelligence - - -
- - + + - + - - - - + - + - + - - - - + - - - + + + + + - - - - + + + - - + - + - + - - + + + - + + - + + - + + + + + + + 16 choices
13.
Artificial Intelligence + + +
+ so-so
14.
Artificial Intelligence + + +
+ - + + + + - + + + + + - + + - +so-so worse better worse better
15.
Artificial Intelligence + + +
+ - + + + + - + + + + + - + + - +so-so - - + + + - - + + - + - worse better! worse
16.
Artificial Intelligence Way too
many choices 0.5 1.2 0.7 1.0 0.9 -0.7 -0.6 1.1 , , etc…
17.
Gradient Descent 0.5 1.2 0.7
1.0 0.6 0.9 0.5 1.1 0.7 0.4 0.3 1.2 0.9 -0.2 -0.2 1.1 0.9 -0.7 -0.6 1.1 1 -1 -1 1 Lots of errors Derivatives Few errors
18.
XOXO! Slightly More Complex
World Person Alphabet X O Computer X O
19.
1 -1 -1 -1
1 -1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 / X O
20.
1 -1 1 -1
1 -1 1 -1 1 + + - - + - + - +
21.
1 -1 -1 1 Previous
Knowledge -1 1 1 -1
22.
X O / 1 -1 1 -1
1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 Convolutional Neural Network Convolution Layer Pooling Layer Fully Connected Layer
23.
1 -1 1 -1
1 -1 1 -1 1 4 -4 -4 4 + - - + + + - - -4 4 4 -4 - + + - - - + + Convolution Layer Pooling Layer
24.
1 -1 1 -1
1 -1 1 -1 1
25.
-1 1 -1 1
-1 1 -1 1 -1 -4 4 4 -4 + - - + + + - - 4 -4 -4 4 - + + - - - + +
26.
-1 1 -1 1
-1 1 -1 1 -1
27.
1 -1 -1 -1
1 -1 -1 -1 1 4 -2 -2 4 + - - + + + - - -4 2 2 -4 - + + - - - + +
28.
1 -1 -1 -1
1 -1 -1 -1 1
29.
-1 -1 1 -1
1 -1 1 -1 -1 2 -4 -4 2 + - - + + + - - -2 4 4 -2 - + + - - - + +
30.
-1 -1 1 -1
1 -1 1 -1 -1
31.
Convolution Layer Pooling Layer Fully
Connected Layer
32.
1 -1 1 -1
1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 1 -1 -1 1 -1 1 1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 -1 -1
33.
1 -1 1 -1
1 -1 1 -1 1 1 -1 -1 1 -1 1 1 -1 -1 1 -1 1 -1 1 -1 1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 1 -1 1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 -1 1 -1 -1 -1 1 1 -1 -1 1 -1 -1 -1 -1 + - - + - + + - X - + + - + - - + - - - - - + + - + - - + - - - - O / Filters
34.
1 -1 1 -1
1 -1 1 -1 1 1 -1 -1 1 -1 1 1 -1 + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - 8X O / -8 4 4 +1 +1 +1+1 +1 +1 +1+1
35.
-1 1 -1 1
-1 1 -1 1 -1 -1 1 1 -1 1 -1 -1 1 + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - -8X O / 8 -4 -4
36.
-1 -1 1 -1
1 -1 1 -1 -1 -1 -1 -1 -1 -1 1 1 -1 + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - 4X O / -4 8 0
37.
1 -1 -1 -1
1 -1 -1 -1 1 1 -1 -1 1 -1 -1 -1 -1 + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - 4X O / -4 0 8
38.
1 -1 1 -1
1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 1 -1 -1 -1 1 -1 1 -1 1 -1 -1 1 -1 -1 -1 1 -1 -1 -1 1 X O / Convolutional Neural Network Convolution Layer Pooling Layer Fully Connected Layer
39.
+ - - + +
- - + + - - + + - - + - + + - - + + - - + + - - + + - + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - 1 -1 -1 1 -1 1 1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 -1 -1 -1 1 1 -1 1 -1 -1 1 -1 -1 -1 -1 1 -1 1 -1 1 -1 1 -1 1 X O / Convolution Layer Pooling Layer Fully Connected Layer
40.
+ - - + +
- - + + - - + + - - + - + + - - + + - - + + - - + + - + - - + - + + - - + + - + - - + - - - - - + + - + - - + - - - - 1 -1 -1 1 -1 1 1 -1 1 -1 1 -1 1 -1 1 -1 1 X O / Convolution Layer Pooling Layer Fully Connected Layer 8 -8 4 4
41.
X O Artificial Intelligence ?
42.
Gradient Descent X O Lots
of errors Few errors
43.
People Computer Alphabet Advanced
World
46.
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