LAMVI-2: A Visual Tool for Comparing and Tuning Word Embedding Models

Joshua Luckson
Joshua Luckson

arXiv: Computation and Language, Volume abs/1810.11367, 2018.

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Abstract:

Tuning machine learning models, particularly deep learning architectures, is a complex process. Automated hyperparameter tuning algorithms often depend on specific optimization metrics. However, in many situations, a developer trades one metric against another: accuracy versus overfitting, precision versus recall, smaller models and acc...More

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