PyCon Korea 2017의 스프린트 세션 "Tensorflow, Python 그리고 Apache Zeppelin"에서 사용된 발표 자료입니다. 튜토리얼도 아닌 맛보기라 설명이 매우 간략합니다..^^ 실습 노트 주소: https://www.zepl.com/viewer/notebooks/bm90ZTovL2p1bi82YmI1ODFjMzZmOTA0YmZmOGQyYTEzNmI3MWQzODVhNy9ub3RlLmpzb24

1. (Jun Kim)
i2r.jun@gmail.com
Sprint
“TensorFlow, Python Apache Zeppelin”
2017. 08. 15.

3. , !
•
• contributor
• :
- Deep Learning:
‣ Image Retrieval
‣ Music Information Retrieval
‣ Generative Adversarial Network
- Machine Learning
- Online Analytical Processing
- Data Warehouse

4. NOTICE!
• “ ”
-
- “ ~ ~”
• ,
-
•
!

5. 오늘의 목표

6. DEMO

7. Deep Learning
•
-
•
-
-
!
• (neuron)

8. Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015.
(1)
(2)
(3)

9. http://cs231n.github.io/neural-networks-1/
0
1
2
(3) (w)
(1) ( ) (2) (w)
(4) Activation (f)
(5)
w, b !
weight (w)
bias (b)
activation (f)

10. ?
…
0 =0.9
1 =0.05
9 =0.01
10
( 0~9 10 )
…

11. ?
Torres, Jordi. First contact with TensorFlow. Lulu. com, 2016.
<softmax>
Activation 10 (w*x + b)
(0~9)
1
784(28x28)

14. : 9

15. : 9

16. : 9
Error

17. : 9
Error
w, b !

18. : [9, 3]
Error
100 !
…

19. …
w, b
?
!
(상황극으로 배우는 딥러닝)

20. ( ) ( ) ( ) .
!
.
?
( ) !
= !
( )

21. (Gradient Descent)
1) ( )
2) w
( cross entropy )
3) w
4) 1
Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015.

22. • Zeppelin:
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-
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• TensorFlow:
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• Matplotlib:
-
! !

23. • &
• GPU ! ( CPU )
“TensorFlow™ is an open source software library
for numerical computation using data flow graphs.”
https://www.tensorflow.org/

24. Data Flow Graph
• TensorFlow
data flow graph
• Node edge :
- Node:
- Edge:
• Graph (feed)
!
https://www.tensorflow.org/

25. TensorFlow
, , http://hunkim.github.io/ml/
,

26. •

28. ?
• “ ”
- http://hunkim.github.io/ml/

29. .
(Jun Kim)
i2r.jun@gmail.com