The participant will be provided with insights and guidance on how to use experiment management from research to production.
In this workshop, we share our experience from numerous deep learning projects. We will discuss topics such as hyperparameter optimization search, data biases, diminishing returns of annotated data and productive use of an experiment management platform.
In addition, we will dedicate the majority of the workshop to hands-on training using Trains - a free open-source experiment manager for machine learning and deep learning projects.
In this section, we will cover the following topics:
*Introduction to Trains - Installing and using trains and trains-agent,
*Advanced use of Trains - Experiments artifacts and hyperparameter search,
*From research to production with Trains - Managing the full life cycle of your project.
Workshop Overview and Author Bio
Best Practices in Deep Learning and the Art of Research Management
CTO & Co-Founder | Allegro AI