Digests » 52
this week's favorite
The idea of intelligent machines has fascinated people for centuries. And while it may seem like something out of science fiction, people today use artificial intelligence every day in their smartphones, houses, cars and more. It’s becoming more and more prevalent in our world. At Facebook, we use AI to translate text between languages, to describe images for visually impaired people, and more. In this video, our head of AI research, Yann LeCun, explains some of the key concepts that make all of this possible and why you should care.
PyTorch is the fastest growing Deep Learning framework and it is also used by Fast.ai in its MOOC, Deep Learning for Coders and its library.
Human Pose estimation is an important problem and has enjoyed the attention of the Computer Vision community for the past few decades. It is an important step towards understanding people in images and videos. In this post, I write about the basics of 3D Human Pose Estimation and review the literature on this topic. I've covered 2D Pose Estimation here.
A month ago, after a poke from Piotr Migdał, I described how to fool neural networks with seemingly pornographic optical illusions. As a spin-off and to learn a new skill, I created a simple tweetbot. @IsItNSFW, upon receiving an image, will respond with the scores a handful of AI image detection models give it.
I have created a list of basic Machine Learning Interview Questions and Answers. These Machine Learning Interview Questions are common, simple and straight-forward.