The document details a comprehensive guide on setting up TensorFlow through virtualization and specific software installation steps, including requirements for the system environment. It outlines tutorials from basic tasks like 'Hello TensorFlow' to more advanced topics like linear regression and image recognition with MNIST. Additional information includes necessary software installations and a brief background on the author’s experience in open-source software development and machine learning.

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