KOSS Lab. Conference 2016에서 튜토리얼 섹션으로 진행하였습니다. link: https://kosscon.kr/program/tutorial#11 제로부터 시작하는 텐서플로우 Zero Staring Life in Artificial Intelligence 텐서플로우는 구글에서 공개한 오픈 소스 프로젝트입니다. 기계학습에 관심이 있지만 IT를 잘 모르시는 분들을 위해서 가상환경부터 시작해서 텐서플로우를 설치하고, 예제코드를 따라하면서, 기계학습을 공부하는 사람들에게 마중물(!) 역활을 작게나마 도움이 되었으면 좋겠습니다.

1. Re: 제로부터
시작하는
텐서플로우
Re: Zero starting
In TensorFlow
KOSS Lab. 2기
Mario Cho (조만석)
hephaex@gmail.com

2. Contents
• I. Virtualization setup
• II. Operating System Setup
• III. Apt-get update
• IV. Python & pip install
• V. Jupiter notebook install
• VI. Tensorflow install
• VII. Tutorial #1 Hello Tensorflow
• VIII. Tutorial #2 matrix multiplication
• IX. Tutorial #3 word2vector
• X. Tutorial #4 data representation
• XI. Tutorial #5 Linear regression
• XII. Tutorial #6 MNIST

3. Mario Cho
Development Experience
◆ Image Recognition using Neural Network
◆ Bio-Medical Data Processing
◆ Human Brain Mapping on High Performance
Computing
◆ Medical Image Reconstruction
(Computer Tomography)
◆ Enterprise System
◆ Open Source Software Developer
Open Source Software Developer
◆ OPNFV (NFV&SDN) & OpenStack
◆ Machine Learning (TensorFlow)
Book
◆ Unix V6 Kernel Korea Open Source Software Lab.
Mario Cho
hephaex@gmail.com

4. 0. Requirement
• Environment's
– NotePC or Desktop
– Intel i3 dual core or higher
– Memory 4GB or higher
• Virtual BOX : virtualization
– Windows: http://download.virtualbox.org/virtualbox/5.1.8/VirtualBox-5.1.8-111374-Win.exe
– OSX http://download.virtualbox.org/virtualbox/5.1.8/VirtualBox-5.1.8-111374-OSX.dmg
– EXTENTION Pack :
http://download.virtualbox.org/virtualbox/5.1.8/Oracle_VM_VirtualBox_Extension_Pack-5.1.8-
111374.vbox-extpack
• Ubuntu 16.04: Operating system
– http://ftp.daumkakao.com/ubuntu-releases/xenial/ubuntu-16.04.1-desktop-amd64.iso
• Python 2.7 or Python 3.4 higher
• TensorFlow 0.11rc2
• Jupyter (ipython)
• Git
• And your passion!

5. I. Setup Virtual Environment
•Virtual Box 5.1 Download & install.
•https://www.virtualbox.org

6. I. Setup Virtual Environment
• VirtualBox 5.1.8 for Windows hosts x86/amd64
• VirtualBox 5.1.8 for OS X hosts amd64

7. II. Operating System: download
•http://releases.ubuntu.com/16.04/

8. II. Operating System: download
•http://releases.ubuntu.com/16.04/

9. II. Operating System: download
• https://launchpad.net/ubuntu/+mirror/ftp.daum.net-release

10. II. Operating System: virtual box setup

11. II. Operating System: virtual box setup

12. II. Operating System: virtual box setup

13. II. Operating System: virtual box setup

14. II. Operating System: virtual box setup

15. II. Operating System: virtual box setup

16. II. Operating System: virtual box setup

17. II. Operating System: ready to install

18. II. Operating System: install

19. II. Operating System: install

20. II. Operating System: install

21. II. Operating System: install

22. III. APT-GET update

23. III. APT-GET update
• $ sudo apt-get update

24. III. SSH server install
• # Ubuntu/Linux 64-bit
• $ sudo apt-get install openssh-server
• # verify
• $ sudo service ssh status

25. III. Git install & source download
• $ sudo apt-get install git
• $ git clone https://github.com/hephaex/KOSSCON2016.git

26. IV. Install Python 2.7 & pip
• $ sudo apt-get -y install python2.7 python-pip python-dev
# verify
• $python –version
> Python 2.7.12
• $ pip –version
> pip 8.1.1 from /usr/lib/python2.7/dist-packages (python 2.7)

27. VI. Jupyter notebook
• $ sudo apt-get -y install ipython ipython-notebook
• $ sudo -H pip install jupyter
You are using pip version 8.1.1, however version 9.0.1 is
available.
You should consider upgrading via the 'pip install --upgrade
pip' command.
• $ sudo -H pip install –upgrade pip
• $ sudo -H pip install jupyter

28. VI. Tensorflow install
# Ubuntu/Linux 64-bit, CPU only, Python 2.7
• $ export
TF_BINARY_URL=https://storage.googleapis.com/tensorflo
w/linux/cpu/tensorflow-0.11.0rc2-cp27-none-
linux_x86_64.whl
# Python 2
• $ sudo pip install --upgrade $TF_BINARY_URL
# Python 3
• $ sudo pip3 install --upgrade $TF_BINARY_URL

29. VI. Pandas & matplot
• $ sudo pip install pandas matplotlib

30. VII. Tutorial #1: Hello TensorFlow

31. VII. Tutorial #1: Hello TensorFlow

32. VII. Tutorial #1: loop

33. VIII. Tutorial #2 matrix multiplication

34. VIII. Tutorial #2 matrix multiplication

35. VIII. Tutorial #2 matrix multiplication

36. IX. Tutorial #3 word2vector

37. IX. Tutorial #3 word2vector

38. IX. Tutorial #3 word2vector

39. IX. Tutorial #3 word2vector

40. IX. Tutorial #3 word2vector

41. IX. Tutorial #3 word2vector

42. X. Tutorial #4 data representation

43. X. Tutorial #4 data representation

44. X. Tutorial #4 data representation

45. X. Tutorial #4 data representation

46. X. Tutorial #4 data representation

47. X. Tutorial #4 data representation

48. X. Tutorial #4 data representation

49. X. Tutorial #4 data representation

50. XI. Tutorial #5 Linear regression

51. XI. Tutorial #5 Linear regression

52. XI. Tutorial #5 Linear regression

53. XI. Tutorial #5 Linear regression

54. XII. Tutorial #6 MNIST: Image recognition in Google Map
* Source: Oriol Vinyals – Research Scientistat Google Brain

55. XII. Tutorial #6 MNIST

56. XII. Tutorial #6 MNIST: data set

57. XII. Tutorial #6 MNIST

58. XII. Tutorial #6 MNIST

59. XII. Tutorial #6 MNIST

60. XII. Tutorial #6 MNIST

61. XII. Tutorial #6 MNIST

62. XII. Tutorial #6 MNIST

63. XII. Tutorial #6 MNIST

64. XII. Tutorial #6 MNIST

65. Thanks you!
Q&A