Apache Spark* (http://spark.apache.org/) is a fast and general engine for large-scale data processing.
How to optimize Caffe* for Intel® Architecture, train deep network models, and deploy networks.
Nervana has joined Intel
As the leading framework for Distributed ML, the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a wide range of data analysis tasks—including data wrangling, interactive queries, and stream processing—within a single framework. Three important features offered by BigDL are rich deep learning support, High Single Node Xeon...
Learn how to install and build the library components of the Intel MKL for Deep Neural Networks.
Learn how to install and use BigDL for training and testing some of the commonly used deep neural network models on Apache Spark.
Big data and analytics play a central role in today’s smart and connected world, and are continuously driving the convergence of big data, analytics, and machine learning/deep learning. We open sourced BigDL, a distributed deep learning library for Apache Spark*, for the very purpose of uniting the deep learning community and the big data community
Automated Installation of BigDL Using Deploy to Azure*
In previous articles, we discussed the Amazon Mechanical Turk* (MTurk*) crowdsourcing marketplace, explained key MTurk terminology, and presented an example on how to use MTurk for word selection.
In the previous article, we introduced Amazon Mechanical Turk* (MTurk) crowdsourcing marketplace and described techniques to help improve the effectiveness and efficiency of crowdsourcing pipelines. In this article, we will demonstrate how to apply crowdsourcing in a real pipeline.