Scaling CNNs with Kubernetes and TensorFlow

Providing customized computer vision solutions to a large number of users is a challenge. Matroid allows the creation and serving of computer vision models, model sharing between users, and serving infrastructure at scale. Reza will present an overview of Matroid’s pipeline, which uses TensorFlow, Kubernetes, Kafka, and Amazon Web Services, and explains how Matroid allows customization of computer vision neural network models in the browser, followed by building, training, and visualizing TensorFlow models, which are provided at scale to monitor streams of video.