mlsanityData to 7 Oct 2026

Masterful: A Training Platform for Computer Vision Models

arXiv 2205.10469 ↗First posted 21 May 2022cs.CV cs.AI cs.LGcited by 0

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Abstract (arXiv)

Masterful is a software platform to train deep learning computer vision models. Data and model architecture are inputs to the platform, and the output is a trained model. The platform's primary goal is to maximize a trained model's accuracy, which it achieves through its regularization and semi-supervised learning implementations. The platform's secondary goal is to minimize the amount of manual experimentation typically required to tune training hyperparameters, which it achieves via multiple metalearning algorithms which are custom built to control the platform's regularization and semi-supervised learning implementations. The platform's tertiary goal is to minimize the computing resources required to train a model, which it achieves via another set of metalearning algorithms which are purpose built to control Tensorflow's optimization implementations. The platform builds on top of Tensorflow's data management, architecture, automatic differentiation, and optimization implementations.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 24 of its 39 references that are in the map. First posted on arXiv 21 May 2022.

Builds on

24 of 39 references.

References · 24

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12 more
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