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MACHINE-LEARNING QUESTIONS

What does the embedding layer for a network looks like?
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:
TAG : machine-learning
Date : November 23 2020, 04:01 AM , By : nawazkhan
How to get the last output and full sequence of LSTM or GRU in Keras at same time?
How to get the last output and full sequence of LSTM or GRU in Keras at same time?
wish helps you Actually, the last timestep returned when return_sequences=True is equivalent to the output of LSTM layer when return_sequences=False:
TAG : machine-learning
Date : October 31 2020, 05:01 AM , By : mbb6005
Classification of relationships in words?
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
TAG : machine-learning
Date : October 14 2020, 01:41 PM , By : user3852829
training for classification using libsvm
training for classification using libsvm
With these it helps You can tell libsvm to use openmp for parallelization. Look at this libsvm faq entry: http://www.csie.ntu.edu.tw/~cjlin/libsvm/faq.htmlf432
TAG : machine-learning
Date : October 14 2020, 12:44 PM , By : user3853533
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