Analytics Zoo: Distributed Tensorflow and Keras on Apache Spark

This will be presented in English.

Zhichao Li (Intel)
09:0012:30 Wednesday, June 19, 2019
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 多功能厅8A+B(Function Room 8A+B)

必要预备知识 (Prerequisite Knowledge)

Python, Spark, Tensorflow, Analytics-Zoo

您将学到什么 (What you'll learn)

Distributed Tensorflow and Keras on Apache Spark

描述 (Description)

“Analytics Zoo”:https://github.com/intel-analytics/analytics-zoo provides a unified analytics + AI platform that seamlessly unites Spark, TensorFlow, Keras and BigDL programs into an integrated pipeline; the entire pipeline can then transparently scale out to a large Hadoop/Spark cluster for distributed training or inference.
In this tutorial, we will show how to build and productionize deep learning applications for Big Data (e.g., transfer learning based image classification, sequence-to-sequence prediction for precipitation nowcasting, neural collaborative filtering for recommendations, unsupervised time-series anomaly detection, etc.) using Analytics Zoo by real-world use cases (such as JD.com, MLSListings, World Bank, UnionPay, midea/KUKA, etc.)

Photo of Zhichao Li

Zhichao Li


Zhichao Li is a senior software engineer at Intel focused on distributed machine learning, especially large-scale analytical applications and infrastructure on Spark. He’s also an active contributor to Spark. Previously, Zhichao worked in Morgan Stanley’s FX Department.

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