Horovod is a distributed training framework for TensorFlow, Keras, and PyTorch. The goal of Horovod is to make distributed Deep Learning fast and easy to use.
Source: github.com
We’re releasing the full version of Gym Retro, a platform for reinforcement learning research on games. This brings our publicly-released game count from around 70 Atari games and 30 Sega games to over 1,000 games across a variety of backing emulators. We’re also releasing the tool we use to add new games to the platform.
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Americans are less trusting of self-driving cars following two deadly accidents involving autonomous or semi-autonomous vehicles, with half of U.S. adults considering those automobiles less safe than human drivers, according to a new poll. A Morning Consult survey conducted March 29-April 1 among a national sample of 2,202 adults found that 27 percent of respondents said self-driving cars are safer than human drivers, while 50 percent said autonomous vehicles are less safe. Eight percent said the automobiles are on par with human drivers when it comes to safety.
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Position Map Regression Networks (PRN) is a method to jointly regress dense alignment and 3D face shape in an end-to-end manner. In this article, I’ll provide a short explanation and discuss its applications in computer vision. In the last few decades, a lot of important research groups in computer vision have made amazing advances in 3D face reconstruction and face alignment.
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