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Here is new paper https://arxiv.org/abs/1911.08541 on debluring images. if you look closer you will notice that all blur was done almost with linear motion. Such blur can be removed without NN at all.
Canon already use this method in their cameras for software stabilization.
For example here paper on restoring licence plate after motion blur without NN http://iopscience.iop.org/article/10.1088/1757-899X/263/4/042024/pdf
Or here with deblur kernel estimation http://www.cse.cuhk.edu.hk/~leojia/projects/robust_deblur/
​​Hey friends, I want to share a great job opportunity with you.
Grammarly Kyiv office looking for ML/NLP engineers who are willing to build an awesome product by implementing their innermost fantasies.
http://bit.ly/grammarly-job
If you were searching the way how you can support us to make our community stronger and build more educational content, we have the answer now!

We just launched our page on Patreon so everyone now can become a supporter and help us to educate people :)
https://www.patreon.com/mlworld
Just found interesting thing torch.argmax(0,0,0) will return 2 instead logically 0 (torch.max also).
So be aware of this when you will be using it.
Recommended by Andrey Karpathy https://arxiv.org/abs/1912.02762
​​The American startup has developed a neural network that tracks the emergence of new trends in the early stages.

The idea of ​​AI news authors is not new. Many of you have probably already read texts generated by neural networks.

And now I want to tell you about Signum.ai. Their real-time AI system analyzes more than 300 thousand sites (forums, blogs, social media accounts) and tracks the emergence of new trends in the early stages.

At its core, Signum.ai is analytic digests that remind me of the Business Insider Intelligence newsletter. Here ML technology is focused not on the beauty of the narrative, but on the value of the content.

I advise you all to look at Signum.ai and support this project with your curiosity.
FREE FLIR Thermal Dataset for Algorithm Training
https://www.flir.com/oem/adas/adas-dataset-form
66 pages bout Dota2 Five AI from OpenAI
https://cdn.openai.com/dota-2.pdf
Hey guys, you have a lust chance to apply to the next session of our course "Object Detection with Pytorch" Right now we have only positive reviews from people all around the world, and we are happy about that, cause that means that we are doing an important job.
http://learnml.today/