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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

BigDL Text Classifier on Analytics Zoo.

By: Intel® AI Latest Version: 0.1

Product Overview

BigDL is a distributed deep learning library created specifically to train and use deep learning models in Apache Spark; No additional hardware is required. You write and run deep learning applications as standard Spark programs.

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By Intel® AI
Categories
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

BigDL Text Classifier on Analytics Zoo.

You can join the BigDL Google Group (https://groups.google.com/forum/#!forum/bigdl-user-group) (or subscribe to the Mail List) for more questions and discussions on BigDL You can post bug reports and feature requests at the Issue Page (https://github.com/intel-analytics/BigDL/issues) For the technical overview of BigDL, please refer to the BigDL white paper: https://bigdl-project.github.io/0.7.0/#whitepaper/ You can check out the Getting Started page (https://bigdl-project.github.io/0.7.0/#getting-started/) for a quick overview of how to use BigDL, and the BigDL Tutorials project (https://github.com/intel-analytics/BigDL-tutorials) for step-by-step deep leaning tutorials on BigDL (using Python). You may refer to Analytics Zoo (https://github.com/intel-analytics/analytics-zoo) for high level pipeline APIs, built-in deep learning models, reference use cases, etc. on Spark and BigDL

https://groups.google.com/d/forum/bigdl-user-group

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