テキスト前処理用Pythonモジュールneologdnの紹介WebDB Forum 2016 技術報告セッション http://db-event.jpn.org/webdbf2016/program.html#industry_C8 This document compares several deep learning frameworks that run on Apache Spark, including SparkNet, Deeplearning4J, CaffeOnSpark, and Tensorflow on Spark. It outlines the theoretical principles behind data parallelism for distributed stochastic gradient descent. It then evaluates and benchmarks each framework
