Chris Fregly demonstrates how to extend existing Spark-based data pipelines to include TensorFlow model training and deploying and offers an overview of TensorFlow’s TFRecord format, including libraries for converting to and from other popular file formats such as Parquet, CSV, JSON, and Avro stored in HDFS and S3. All demos are 100% open source and downloadable as Docker images from Pipeline.ai.
Chris Fregly is an AWS Technical Evangelist for Machine Learning and AI based in San Francisco. He is founder of the Advanced KubeFlow Meetup and author of the O’Reilly Video Series titled, “High Performance TensorFlow in Production.” Previously, Chris was Founder and Product Manager at PipelineAI where he worked with many small startups and large enterprises to optimize and tune their ML/AI pipelines.
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