Active Learning with Autogluon
Author(s): Ulyana Tkachenko Originally published on Towards AI. Train accurate models with minimal data labeling via Active Learning and AutoML Training supervised machine learning models with large amounts of data can be expensive, time-consuming, and oftentimes unnecessary effort. Comparable results can be …
How to Train Neural Networks With Fewer Data Using Active Learning
Author(s): Leon Eversberg Originally published on Towards AI. A state-of-the-art guide to the theory and practice of deep active learning Oracle of Delphi. Photo by Walkerssk from Pixabay One of the biggest problems in supervised deep learning is the scarcity of labeled …