Sampling Methods Within TensorFlow Input Functions

    Laxmi Prajapat and William Fletcher   Many real-world machine learning applications require generative or reductive sampling of data. At training time this may be to deal with class imbalance (e.g. rarity of positives in a binary classification problem, or a sparse user-item interaction matrix) or to augment the data stored on file; it…
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