Docker for Machine Learning! скачать в хорошем качестве

Docker for Machine Learning!

Special thanks to our 2020 Open Infrastructure Summit sponsors for making the event possible: Canonical (Ubuntu), Huawei, VEXXHOST, Cisco, Tencent Cloud, InMotion Hosting, Mirantis, Red Hat, Trilio, VanillaStack.io, and ZTE! -- Docker containers are a popular way to deploy ML environments that run consistently across various platforms. Data scientists are interested in pre-configured platforms that support docker images pre-installed with deep learning frameworks such as TensorFlow, Apache MXNet etc.  This presentation is about getting a quick high-level understanding of how to operationalize machine learning pipeline.   In this session, we will cover all of the basic topics of containers in the context of machine learning by: Taking a simple machine learning problem, building a model and containerize the application.* Setting up the docker environment with GPU support and download and run docker images pre-installed with TensorFlow framework Cisco Converged Infrastructure Solutions for AI/ML Speakers: Haseeb Niazi, Paniraja Koppa Track: AI, Machine Learning, HPC