  As the complexity of state-of-the-art deep learning models increases by the
month, implementation, interpretation, and traceability become
ever-more-burdensome challenges for AI practitioners around the world. Several
AI frameworks have risen in an effort to stem this tide, but the steady advance
of the field has begun to test the bounds of their flexibility, expressiveness,
and ease of use. To address these concerns, we introduce a radically flexible
high-level open source deep learning framework for both research and industry.
We introduce FastEstimator.
