by michaelgreen on 3/14/18, 12:36 AM
This is huge, and it's only an alpha. I begun reading about AutoML/Neural Architecture searches around ~year ago and something I've been thinking about is:
Why doesn't this just move the optimization problem? Aren't you now just optimizing your DeepRL network rather than the network you're trying to optimize?
by Zhenya on 3/14/18, 12:21 AM
Something like this could actually save lives. Take a photo of what bit you, then the app could provide an answer (with a confidence level) of "do I need to go to the hospital" and provide a few example apps for various matches with level of danger.
Thanks for sharing!
by bastih on 3/14/18, 10:38 AM
I like the content of this blog post, but the use of stock photos was really off-putting and I had to almost force myself to keep on reading.
by juskrey on 3/14/18, 5:16 AM
by gajju3588 on 3/14/18, 8:13 AM
Auto labeling would be way forward for Supervised Algorithms. Get some data to annotate from your team, and tag rest of them using auto-labeling.
https://dataturks.com/ could be such player, Not sure how will these survive in front of Google.
by thejosh on 3/14/18, 10:02 AM
How long does it take to get access to AutoML?
by rrmoelker on 3/14/18, 7:19 AM
Does anyone know a bit more about the pricing? All I can find online is Google learning infrastructure cost.
by neurostimulant on 3/14/18, 6:28 AM
Is it possible to export the trained model from AutoML for offline use?
by dzhiurgis on 3/14/18, 3:50 AM
If pictures are already from Google, wouldn't it be simpler to post image to Google's Vision API and then grep results against the list of poisonous spiders?
by skeleton on 3/14/18, 7:46 AM
I'm surprised someone is yet to point out the error of using the word poisonous instead of venomous. I suppose it's not important to the article.