OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze

<p>The incredible advances in machine learning research in recent years often take time to propagate out into usage in the field. One reason for this is that such “state-of-the-art” results for machine learning performance rely on the use of handwritten, idiosyncratic optimizations for specific hardware models or operating contexts. When developers are building ML-powered systems</p> <p>The post <a rel="nofollow" href="https://softwareengineeringdaily.com/2021/02/09/octoml-automated-deep-learning-engineering-with-jason-knight-and-luis-ceze/">OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze</a> appeared first on <a rel="nofollow" href="https://softwareengineeringdaily.com">Software Engineering Daily</a>.</p>