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TensorFlow Examples for Beginners with Latest APIs

196 points| aymericdamien | 8 years ago |github.com | reply

10 comments

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[+] newbear|8 years ago|reply
Thanks this is cool. I just quickly glanced but you are using Python 2.7 ... maybe make a note of that in the readme ?
[+] SloopJon|8 years ago|reply
The examples I've tried so far appear to be portable, and run fine with Python 3.6.1.
[+] Kiro|8 years ago|reply
I would pay good money for a service where I upload a folder of images, gets an interface where I can classify each image one by one and then let ML classify the rest. Does this exist?
[+] daveove|8 years ago|reply
Interesting, we built a product similar to this and I'd be happy to have you try it out. Check it out here: http://symph-geoprocessing.appspot.com/ I don't think it has all the functions you are looking for yet, but we are happy to learn more about what specific features you are looking for and see if we can build them out.
[+] zulrah|8 years ago|reply
Or you can use amazon mechanical turk to get everything classified by people
[+] DanWaterworth|8 years ago|reply
If you don't mind me asking, why do you want to do this?
[+] dontreact|8 years ago|reply
Cool to see. I find the Estimator framework makes it much easier to write tests for training pipelines because of the way it modularizes your pipeline at a good granularity for testing.

Having tests for training pipelines is nice because you can catch a fair amount of bugs with speedy unit tests instead of having to launch them and wait for everything to spin up.

[+] pen2l|8 years ago|reply
Absolutely amazing, very neatly laid out.

Thank you so much for your efforts.