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
There are now many state-of-the-art computer vision algorithms which are a git clone away. We found that existing systems for distributed data analysis were not well suited to dealing with the computational challenges of applying computer vision algorithms to terabyte or petabyte sized video collections, so we designed and built a system called Scanner to make efficient video analysis easier.
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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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For almost all machine learning projects, the main steps of the ideal solution remain same. Briefly, we all go over the steps below each and every time: Understand the dataClean up, fix the missing values, extract new features, select the best onesBuild the model, compare it with the other ones, tune hyper parameters, find out what is the right metric to evaluate your modelIterate this process over and over again until you believe you have the best solution:) Iterate this process over and over again until you believe you have the best solution:)
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