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Advanced Hyperparameter Optimization for Deep Learning with MLflow - Maneesh Bhide Databricks
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Building on the "Best Practices for Hyperparameter Tuning with MLflow" talk, we will present advanced topics in HPO for deep learning, including early stopping, multi-metric optimization, and robust optimization. We will then discuss implementations using open source tools. Finally, we will discuss how we can leverage MLflow with these tools and techniques to analyze the performance of our models.
About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
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About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Connect with us:
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Advanced Hyperparameter Optimization for Deep Learning with MLflow - Maneesh Bhide Databricks
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