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Image Recognition with
Deep Learning using Apache
Spark and BigDL
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Feed-forward network
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
43
37
45
40
𝑦 = (𝑤𝑖 ∗ 𝑥𝑖)
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Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
-0.53
0.01
-0.17
0.70
0.51
?
?
𝑦 = (𝑤𝑖 ∗ 𝑥𝑖)
43
37
45
40
?
?
?
?
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
-0.53
0.01
-0.17
0.70
0.51
?
?
𝑦 = (𝑤𝑖 ∗ 𝑥𝑖)
43
37
45
40
-1.56
?
?
?
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
-0.53
0.01
-0.17
0.70
0.51
?
?
𝑦 = 𝑅𝑒𝐿𝑈( 𝑤𝑖 ∗ 𝑥𝑖 )
43
37
45
40
-1.56
?
?
?
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
-0.53
0.01
-0.17
0.70
0.51
?
?
𝑦 = 𝑅𝑒𝐿𝑈( 𝑤𝑖 ∗ 𝑥𝑖 )
43
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0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
43
37
45
40
-0.12
0.13
0.21
-0.07
-0.05
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𝑦 = 𝑅𝑒𝐿𝑈( 𝑤𝑖 ∗ 𝑥𝑖 )
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Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
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Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
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Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
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43
37
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0
11.9
0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
-0.67
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43
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0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
0
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𝑦 = 𝑅𝑒𝐿𝑈( 𝑤𝑖 ∗ 𝑥𝑖 )
43
37
45
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11.9
0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
0
0.52
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43
37
45
40 0.15
0
11.9
0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Feed-forward network
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Fully Connected
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Fully Connected
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Fully Connected
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Fully Connected
Input Size:
Connections:
40,000
1,600,000,000
200
200
200
200
10 layers: 16 billion
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolutional Neural Networks
• LeNet-5 network developed in 1998 by Yann LeCun
• Torsten Hubel and David Wiesel
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Hubel & Wiesel
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1363130/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Hierarchical Visual Cortex
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Hierarchical Visual Cortex
Lines,
Dots
Orientation,
Movement
High-Level
Shapes
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Local Receptive Fields
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1363130/
Convolutional Network
• Hierarchical processing
• Localized receptive fields
0
0
0
0
0
1
0
0
0
0
0
1
2
3
4
5
6
7
8
9
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Fully Connected
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
Only four weights
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolution
0.10 -0.06
0.24 0.17
Filter
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Source: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow-ebook
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Source: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow-ebook
0 0 1 0 0
0 0 1 0 0
0 0 1 0 0
0 0 1 0 0
0 0 1 0 0
0 0 0 0 0
0 0 0 0 0
1 1 1 1 1
0 0 0 0 0
0 0 0 0 0
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Pooling
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/Source: https://cs231n.github.io/convolutional-networks/
Convolutional Network
• Hierarchical processing
• Localized receptive fields
0
0
0
0
0
1
0
0
0
0
0
1
2
3
4
5
6
7
8
9
Convolution Pooling Convolution PoolingInput FC FC
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Convolutional Network
0
0
0
0
1
0
0
0
0
0
0
1
2
3
4
5
6
7
8
9
Convolution Pooling Convolution PoolingInput FC FC
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/Source: https://www.clarifai.com/technology
Workshop
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/
Questions?
•GitHub: https://github.com/alex-kalinin/lenet-bigdl
•LinkedIn: https://www.linkedin.com/in/alexkalinin/
Alex Kalinin
https://www.linkedin.com/in/alexkalinin/

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Intro to Image Recognition with Deep Learning using Apache Spark and BigDL

Editor's Notes

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