embeddings in A Sentence

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Enter the name of these Embeddings:.

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This tool can read Embeddings from your model and render them in two or three dimensions.

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For our word2vec dataset, we used pre-calculated word2vec Embeddings trained on Google News, which can be downloaded here.

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To create word Embeddings in TensorFlow, we first split the text into words and then assign an integer to every word in the vocabulary.

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This was a count of the number of rotations, size changes, and the number of overlaps or Embeddings of the shapes in each drawing, and provided a measure of"transformational complexity.".

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The problem is that the powerful generic word Embeddings from giant databases like Wikipedia often miss nuances in language- after all, every word becomes one single vector, so terms with multiple meanings can confuse even the smartest algorithms(think of“hack,” which can describe either what an ax does, a computer invasion, or an untalented writer).

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