Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Favorites infavorites:mine
infavorites:1234
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with Search options user 112141

Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.

5
votes
1answer
In Keras documentation at this page, https://keras.io/layers/recurrent/, I wonder what's the difference between GRU and GRUCell, which one I should use if I'd like to create a GRU recurrent network. S …
asked Apr 17 '18 by zyxue
2
votes
1answer
I am trying to reimplement skip-gram and CBOW. I think I understand the architecture well, but I am confused on how to input pairs are exactly generated. For skip-gram, based on McCormick's post, a s …
asked Mar 29 '18 by zyxue
2
votes
I did more research and found answers: 1. Why is downsampling used in the skip-gram case? Quote from its paper, We found that increasing the range improves quality of the resulting word vectors …
answered Mar 30 '18 by zyxue
5
votes
0answers
I was playing with CBOW from the word2vec program downloaded from https://code.google.com/archive/p/word2vec/ with some sequence data (peptides in this case). I was trying to get embeddings for amino …
asked Mar 27 '18 by zyxue
7
votes
2answers
I would like to understand better why LSTM can remember information for a longer time period than vanilla/simple recurrent neural network (SRNN) by redoing an experiment from the paper Learning Long-T …
asked Apr 16 '18 by zyxue