In this article, we try to reproduce the results from the 2019 paper “Diverse Mini-Batch Active Learning” and share our findings.
We used Google's Tensor2Tensor to make Translators using advanced new neural net architectures , specifically the Transformer, with hardly any code.
Uncover how to reduce costs associated with data projects, how strategies like reuse and MLOps help organizations accelerate AI maturity, and more.
Businesses need to be able to quickly introduce, test, train, and implement new models in order to shift strategies or adapt to changing environments.
Accelerating Growth & Team Collaboration with a Common PlatformSave to Library
Enabling a Data-Driven Organization via People, Processes, & TechnologySave to Library
Improving the Data Department’s Agility and Speed Through Reproducible WorkflowsSave to Library
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