Thomas Henson's video: Deep Java Library: Interview with Kesha Williams

Following up on our discussion about Java for Deep Learning, Kesha Williams joins the Big Data Big Questions show. In this episode we dive into why Java for Deep Learning and how to get started with the Java Deep Learning Library. Also find out how Kesha got started with Deep Learning and Machine Learning with Java. Show Notes: • Book reference: https://d2l-java.s3.amazonaws.com/index.html • DJL website: https://djl.ai/ • Github repo: https://github.com/aws-samples/djl-demo • Amazon retail use case: https://aws.amazon.com/blogs/opensource/how-amazon-retail-systems-run-machine-learning-predictions-with-apache-spark-using-deep-java-library/ ► DATA ENGINEER RESOURCE - Site devoted to "BUILDING STRONGER DATA ENGINEERS" ◄ https://thomashenson.com ► Data Engineer / Machine Learning Engineer Courses ◄ https://app.pluralsight.com/profile/author/thomas-henson ► CONNECT ON TWITTER ◄ https://twitter.com/henson_tm