1387 papers with code • 0 benchmarks • 3 datasets
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We present Fashion-MNIST, a new dataset comprising of 28x28 grayscale images of 70, 000 fashion products from 10 categories, with 7, 000 images per category.
Recently, researchers have made significant progress combining the advances in deep learning for learning feature representations with reinforcement learning.
The size of the dataset and the fact that the questions are derived from real user search queries distinguishes MS MARCO from other well-known publicly available datasets for machine reading comprehension and question-answering.