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Zeppelin, TensorFlow, Deep Learning 맛보기

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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

Publicado en: Datos y análisis
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Zeppelin, TensorFlow, Deep Learning 맛보기

  1. 1. (Jun Kim) i2r.jun@gmail.com Sprint “TensorFlow, Python Apache Zeppelin” 2017. 08. 15.
  2. 2. , ! • • contributor • : - Deep Learning: ‣ Image Retrieval ‣ Music Information Retrieval ‣ Generative Adversarial Network - Machine Learning - Online Analytical Processing - Data Warehouse
  3. 3. NOTICE! • “ ” - - “ ~ ~” • , - • !
  4. 4. 오늘의 목표
  5. 5. DEMO
  6. 6. Deep Learning • - • - - ! • (neuron)
  7. 7. Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015. (1) 
 (2) (3) 

  8. 8. 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)
  9. 9. ? … 0 =0.9 1 =0.05 9 =0.01 10 ( 0~9 10 ) …
  10. 10. ? Torres, Jordi. First contact with TensorFlow. Lulu. com, 2016. <softmax> Activation 10 (w*x + b) (0~9) 1 784(28x28)
  11. 11. : 9
  12. 12. : 9
  13. 13. : 9 Error
  14. 14. : 9 Error w, b !
  15. 15. : [9, 3] Error 100 ! …
  16. 16. … w, b ? ! (상황극으로 배우는 딥러닝)
  17. 17. ( ) ( ) ( ) . ! . ? ( ) ! = ! ( )
  18. 18. (Gradient Descent) 1) ( ) 2) w 
 ( cross entropy ) 3) w 4) 1 Raschka, Sebastian. Python machine learning. Packt Publishing Ltd, 2015.
  19. 19. • Zeppelin: - - - • TensorFlow: - • Matplotlib: - ! !
  20. 20. • & • GPU ! ( CPU ) “TensorFlow™ is an open source software library for numerical computation using data flow graphs.” https://www.tensorflow.org/
  21. 21. Data Flow Graph • TensorFlow data flow graph • Node edge : - Node: - Edge: • Graph (feed) ! https://www.tensorflow.org/
  22. 22. TensorFlow , , http://hunkim.github.io/ml/ ,
  23. 23.
  24. 24. ? • “ ” - http://hunkim.github.io/ml/
  25. 25. . (Jun Kim) i2r.jun@gmail.com

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