Tensorflow windows installation

1. DEV SUMMIT 2017 EXTENDED
Tensorflow Windows Installation
Object Recognition Demo
Marwa Ayad Mohamed
WTM Cairo Leader

2. DEV SUMMIT 2017 EXTENDED
Agenda
• Software tools requirement
• Python 3.5.x.
• Microsoft Visual C++ 2015 Redistributable.
• Installing python
• Installing TensorFlow on Windows
• Hello, TensorFlow!
• TensorFlow Image Recognition Demo

3. DEV SUMMIT 2017 EXTENDED
Software tools requirement
• Python 3.5.x
https://www.python.org/downloads/release/python-352/

4. DEV SUMMIT 2017 EXTENDED
Installing python

5. DEV SUMMIT 2017 EXTENDED
Installing python
C:UsersMarwaAppDataLocalProgramsPythonPython35Scripts;

6. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
• Determine which TensorFlow to install.
• TensorFlow with CPU support only. If your system does not have a NVIDIA® GPU
• TensorFlow with GPU support.
• the mechanism by which you install TensorFlow.
• "native" pip (Recommended )
• Native pip installs TensorFlow directly on your system without going through a virtual environment.
• Anaconda (not officially supported)
• you may use conda to create a virtual environment.
• https://www.tensorflow.org/install/install_windows

7. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

8. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

9. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

10. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

11. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

12. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)
• pip install --
upgrade https://storage.googleapis.com/tensorflow/windows/cpu/te
nsorflow-0.12.0rc0-cp35-cp35m-win_amd64.whl

13. DEV SUMMIT 2017 EXTENDED
Installing TensorFlow on Windows
(Installing with native pip)

14. DEV SUMMIT 2017 EXTENDED
Validate your installation
(Hello, TensorFlow!)
1. Start a terminal.
2. Inside that terminal, invoke python:
• C:> python
3. Enter the following short program inside the python interactive
shell:
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> print(sess.run(hello))
4. Hello, TensorFlow!

15. DEV SUMMIT 2017 EXTENDED
Validate your installation
(Hello, TensorFlow!)

16. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO
• We're now taking the next step by releasing code for running image
recognition on our latest model, Inception-v3.
• Inception-v3 is trained for the ImageNet Large Visual Recognition
Challenge using the data from 2012.
• The models try to classify entire images into 1000 classes,
like "Zebra", "Dalmatian", and "Dishwasher".

17. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO
• https://github.com/tensorflow/models
• git clone https://github.com/tensorflow/models

18. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO
Usage with Python API
>>> cd models/tutorials/image/imagenet
>>> python classify_image.py

19. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO
• Usage with Python API

20. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO
• If you wish to supply other JPEG images, you may do so by editing
the --image_fileargument.
• If you download the model data to a different directory, you will need
to point --model_dir to the directory used.

21. DEV SUMMIT 2017 EXTENDED
Image Recognition
DEMO

22. DEV SUMMIT 2017 EXTENDED
https://www.facebook.com/WTM.Cairo/
Engmarwaayad@gmail.com
https://eg.linkedin.com/in/marwa-ayad-mohamed-0a405215
http://www.slideshare.net/marwamarwa3/tensorflow-
72291568