AWS re:Invent 2017: Scaling Convolutional Neural Networks with Kubernetes and Tensor (MCL305)

663
20.1
Опубликовано 30 ноября 2017, 15:59
In this session, Reza Zadeh, CEO of Matroid, presents a Kubernetes deployment on Amazon Web Services that provides customized computer vision to a large number of users. Reza offers an overview of Matroid’s pipeline and demonstrates how to customize computer vision neural network models in the browser, followed by building, training, and visualizing TensorFlow models, which are provided at scale to monitor video streams.
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