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
Deep learning has been at the forefront of the so called AI revolution for quite a few years now, and many people had believed that it is the silver bullet that will take us to the world of wonders of technological singularity (general AI). Many bets were made in 2014, 2015 and 2016 when still new boundaries were pushed, such as the Alpha Go etc. Companies such as Tesla were announcing through the mouths of their CEO’s that fully self driving car was very close, to the point that Tesla even started selling that option to customers [to be enabled by future software update].
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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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