MXNet is Apache Deep learning ecosystem. It supports 8 different languages (Python, Scala, Julia, Clojure, Java, C++, R and Perl). It also supports Horovod, the distributed learning framework developed by Uber. Its central component is Gluon API, which extends to GluonCV (computer vision), GluonNLP (natural language processing) and GluonTS (Probabilistic Time Series Modeling).
Introduction and principles of MLflow With increasingly cheaper computing power and storage and at the same time increasing data collection in all walks of life, many companies integrated Data Science…
Mar 23, 2020
With the arrival of Hadoop 3, YARN offer more flexibility in resource management. It is now possible to perform Deep Learning analysis on GPUs with specific development environments, leveraging…
Jul 24, 2018
This article goes over the fundamental principles of Machine Learning and what tools are currently used to run machine learning algorithms. We will then see how a resource manager such as YARN can be…
By Grégor JOUET
May 30, 2018