Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer **inside the GPU**. Therefore, you only need to send the index of the words through the GPU data transfer bus, reducing data transfer overhead.
Example: Here, the norm (such as |A|₂) is the L2 norm, the radius in space from the origin, but in a higher dimensional space such as with $n=300$:
Also: the exponent 2 in the L2 norm formula.
Example:
Here, the norm (such as |A|₂) is the L2 norm, the radius in space from the origin, but in a higher dimensional space such as with $n=300$:Also: the exponent 2 in the L2 norm formula.