“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.)
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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