facebookresearch / adaptive-softmax Goto Github PK
View Code? Open in Web Editor NEWImplements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
License: Other
Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)
License: Other
how to implement adaptive-softmax while using tensorflow? It seems that tensorflow does not have the api.
In order to reproduce the result, could you please describe how to make the 1 billion word dataset into train.txt, valid.txt and test.txt? Or an example showing first a few lines of the train/valid/test files?
Hello there,
It seems to me that Doc2Vec (http://cs.stanford.edu/~quocle/paragraph_vector.pdf) is also another way to model free-text.
What is the relations, if any, between two methods? Do they provide similar outputs, i.e. from free-text to numeric vectors?
Thanks a lot,
Hello
I am trying to rerun the experiment.
First I downloaded the file http://mattmahoney.net/dc/enwik8.zip and unzip, and get a file named enwiki8
.
Then I stuck here. How should I divide this file into train.txt, valid.txt and test.txt as required by the program?
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