Advertisement
Check these out next
Image Recognition With TensorFlow
Aug. 2, 2016•0 likes•3,233 views
4 likes
Be the first to like this
Show More
views
Total views
0
On Slideshare
0
From embeds
0
Number of embeds
0
Download to read offline
Report
Technology
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.
Yaz SantissiFollow
Advertisement
Advertisement
Advertisement
Recommended
Image Recognition with TensorFlowAltoros
Decentralized margin trading-DDEX: presented by WolfpackLuyaoZhangPhD
Quality attributes testing. From Architecture to test acceptanceIT Weekend
ELeader Shelf RecognitionHans Smith
Image Recognition in Digital Merchandising IndustryIT Weekend
Cloud Machine Learning with Google Cloud PlatformMichal Brys
Image Recognition With TensorFlow
- IMAGE RECOGNITION WITH TENSORFLOW Yaz Santissi @YazSantissi
- 2 EASY PROBLEM FOR HUMANS DIFFICULT PROBLEM FOR COMPUTERS
- 3 A PICTURE IS WORTH A THOUSAND WORDS
- 4 DIFFERENCE BETWEEN AN APPLE AND AN ORANGE
- 5
- 6
- 7
- 8
- 9 BUT THEN ???
- 10
- 11 HOWEVER WITH TENSORFLOW …
- 12
- 13 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 14 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 15 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 16 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 17 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 18 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 19 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 20 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 21 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 22 2) GETTING AN EXISTING MODEL & RETRAINING (TRANSFER LEARNING)
- 23 2) GETTING AN EXISTING MODEL & RETRAINING (TRANSFER LEARNING)
- 24 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 25 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 26 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 27 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 28 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 29 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 30 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 31 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 32 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 33 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 34 BOTTLENECKS TRAINING ACCURACY VALIDATION ACCURACY CROSS ENTROPY FINAL TEST ACCURACY
- 35 4) TESTING NEW MODEL WITH NEW IMAGES
- 36 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 37 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 38 1) SETTING UP TENSORFLOW WITH CONTAINERS
- 39 THANKS Any questions? ▫ @YazSantissi
Advertisement