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0xhexhex proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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0xhexhex proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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0xhexhex proslijedio/la je Tweet
Interesting costs/spec for Google's Meena chatbot. By comparison, Mitsuku takes 40Mb of space, needs 4Mb of RAM and runs on a single CPU. As a bonus, I even let people talk to it!
https://twitter.com/eturner303/status/1223976313544773634 …
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0xhexhex proslijedio/la je Tweet
feeling sorry for the people in SF tonight. they still have to go to their $250k/yr jobs tomorrow to optimize the conversion rate of that one button their entire floor is responsible for
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for anyone who works in any corner of privacyland, I really cannot recommend
@ariezrawaldman's article on the warping of privacy law into empty box-checking enough https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3499913&download=yes …pic.twitter.com/G6Gf7ABJPG
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If you have some time to kill before the Superbowl today considering watching my newest video about my GIANT dogs!
#SuperBowl
Link: 

https://www.youtube.com/watch?v=wUIQmhX1VmM …pic.twitter.com/iflhyu0X7P
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0xhexhex proslijedio/la je Tweet
Our NN is initially in Python for rapid iteration, then converted to C++/C/raw metal driver code for speed (important!). Also, tons of C++/C engineers needed for vehicle control & entire rest of car. Educational background is irrelevant, but all must pass hardcore coding test.
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I decided that this year, every day, I would knit a row on a scarf to mark the corresponding daily temperature/weather of my town. It felt like a good way to engage with the changing climate and with the changing year. A way to notice and not look away. Here's January then.pic.twitter.com/XQ9scIMX5c
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This is an incredible conceptual piece. I'm really taken with the simplicity and the inherent message about adversarial AI attacks.https://twitter.com/StevenJCrowley/status/1223977380794064897 …
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#Toyota uses#BigData to guard against accelerator-brake mix-up https://www.reuters.com/article/us-toyota-adas-idUSKBN1ZX0FR …#SelfDrivingCars#AI#IoT#5G#AutonomousVehicles#selfdriving#autonomous#robotics#tech#driverless#driverlesscars#startups#SmartCity#startup#Robot#robots#artificialintelligenceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Added ImageNet validation results for 164 pretrained
#PyTorch models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.https://github.com/rwightman/pytorch-image-models/tree/master/results …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
0xhexhex proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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0xhexhex proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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0xhexhex proslijedio/la je Tweet
Your friendly reminder to adopt don’t shop
#RescueDogs@dog_ratespic.twitter.com/RSXoCCslJMHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Tesla AI recruitment
“A PhD is definitely not required. All that matters is a deep understanding of AI and ability to implement NNs in a way that is actually useful (latter point is what’s truly hard). Don’t care if you finished high school.” @elonmuskhttp://redd.it/exyh57Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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John Schulman's opinionated guide to ML research http://joschu.net/blog/opinionated-guide-ml-research.html …
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My wife and I are *HUGE* nerds, so we tracked our first son's language development word by word. Then I plotted it!
Having done it for one son, I knew we had to do it for our second son too!
Here is his language development in plots; check it out!
https://alexgude.com/blog/my-second-sons-words/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Manifold is a visual debugging tool that enables users to quickly identify performance issues in machine learning models.https://ubere.ng/2QsJDxm
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Today we announce a novel, open-source method for text generation tasks (e.g., summarization or sentence fusion), which uses edit operations instead of generating text from scratch, leading to less errors and faster model execution. Read about it below.https://goo.gle/38XfRXU
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When tug of war lasts so long that you both fall asleep
: http://instagram.com/molsonandmaple
#mydogiscutestpic.twitter.com/gbWZ7eCMBzHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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