What does the embedding layer for a network looks like?
should help you out Embedding layer is just a trainable look-up table: it
takes as input an integer index and returns as output the word embedding
associated with that index:
Date : November 23 2020, 04:01 AM , By : nawazkhan
Classification of relationships in words?
may help you . It kind of sounds like you're looking for a dependency
parser. Such a parser will give you the relationship between any word in a
sentence and its semantic or syntactic head. The MSTParser uses an online
max-margin technique known as M
Date : October 14 2020, 01:41 PM , By : user3852829
training for classification using libsvm
With these it helps You can tell libsvm to use openmp for parallelization.
Look at this libsvm faq entry:
Date : October 14 2020, 12:44 PM , By : user3853533