Image Recognition with TensorFlow

•

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1. Setting up TensorFlow with Ubuntu containers 2. What is transfer learning and how to get an existing model with it? 3. Training old models with new images 4. Testing new models with new images

IMAGE RECOGNITION
WITH
TENSORFLOW
Yaz Santissi
yaz@gdgcloud.com

2
EASY PROBLEM
FOR HUMANS
DIFFICULT PROBLEM
FOR COMPUTERS

3
DIFFERENCE
BETWEEN
AN APPLE AND
AND ORANGE

12
1)
SETTING UP
TENSORFLOW WITH
CONTAINERS

13
2)
GETTING AN EXISTING
MODEL
(TRANSFER LEARNING)

14
3)
TRAINING OLD MODEL
WITH NEW IMAGES

16
THANKS Any questions?
▫ yaz@gdgcloud.com

Image recognition is a problem that clearly illustrates the advantages of machine learning over traditional programming approaches. In this deep dive, how to quickly get set up with TensorFlow on Ubuntu using containers will be shown. To be even more efficient, what is becoming known as transfer learning will be demonstrated. An existing image recognition model will be used rather than the time consuming approach of building one from scratch. Subsequently, this classifier model will be trained with an image dataset. And finally, the retrained model will be tested with new external images.

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