Very excited to share that based on the KubeCon ‘19 talk and reproducible-ML project and E2E Reproducible ML project, O’reilly reached out to create an interactive (katacoda) scenario series deep-diving into challenges and solutions in realizing reproducible ML.

This course is now live on O’reilly platform and broken down into four parts:

1. Reproducible Deep Learning: Semantic Segmentation on Oxford Pets Dataset
2. Reproducible Deep Learning: Identifying the Reproducibility Challenge
3. Reproducible Deep Learning: Random Seeds and Process-Parallelism
4. Reproducible Deep Learning: Achieving 100% Reproducibility