# FastEstimator: A Deep Learning Library for Fast Prototyping and Productization

arXiv: https://arxiv.org/abs/1910.04875 · HTML: https://mlsanity.com/paper/1910.04875/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Oct 2019.

## Built on by (most cited first, 1 of 1)

- [To Raise or Not To Raise: The Autonomous Learning Rate Question](https://mlsanity.com/paper/2106.08767/) (2021)

## Abstract (arXiv)

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.