Padding sequences for neural sequence models (RNNs)
$begingroup$
I am padding sequences for a GRU based classifier that I am building in Keras. I'm wondering if there's any accepted best practice for padding the leading or trailing side of the sequence.
E.g.
sequence = [1,2,3,4]
leading_pad = [0,0,0,1,2,3,4]
trailing_pad = [1,2,3,4,0,0,0]
In other projects I have generally padded the leading end of the sequence as a convention imprinted on me by various blogs, course work and other examples.
My question: is there any research that shows whether or not it matters which side of the sequence you pad? Or am I completely over thinking this.
Any advice would be much appreciated.
neural-network rnn
asked 5 mins ago
SledgeSledge
1405
$endgroup$
add a comment |
$begingroup$
I am padding sequences for a GRU based classifier that I am building in Keras. I'm wondering if there's any accepted best practice for padding the leading or trailing side of the sequence.
E.g.
sequence = [1,2,3,4]
leading_pad = [0,0,0,1,2,3,4]
trailing_pad = [1,2,3,4,0,0,0]
In other projects I have generally padded the leading end of the sequence as a convention imprinted on me by various blogs, course work and other examples.
My question: is there any research that shows whether or not it matters which side of the sequence you pad? Or am I completely over thinking this.
Any advice would be much appreciated.
neural-network rnn
asked 5 mins ago
SledgeSledge
1405
$endgroup$
add a comment |
$begingroup$
I am padding sequences for a GRU based classifier that I am building in Keras. I'm wondering if there's any accepted best practice for padding the leading or trailing side of the sequence.
E.g.
sequence = [1,2,3,4]
leading_pad = [0,0,0,1,2,3,4]
trailing_pad = [1,2,3,4,0,0,0]
In other projects I have generally padded the leading end of the sequence as a convention imprinted on me by various blogs, course work and other examples.
My question: is there any research that shows whether or not it matters which side of the sequence you pad? Or am I completely over thinking this.
Any advice would be much appreciated.
neural-network rnn
asked 5 mins ago
SledgeSledge
1405
$endgroup$
I am padding sequences for a GRU based classifier that I am building in Keras. I'm wondering if there's any accepted best practice for padding the leading or trailing side of the sequence.
E.g.
sequence = [1,2,3,4]
leading_pad = [0,0,0,1,2,3,4]
trailing_pad = [1,2,3,4,0,0,0]
In other projects I have generally padded the leading end of the sequence as a convention imprinted on me by various blogs, course work and other examples.
My question: is there any research that shows whether or not it matters which side of the sequence you pad? Or am I completely over thinking this.
Any advice would be much appreciated.
neural-network rnn
neural-network rnn
asked 5 mins ago
SledgeSledge
1405
asked 5 mins ago
SledgeSledge
1405
asked 5 mins ago
SledgeSledge
1405
asked 5 mins ago
SledgeSledge
1405
asked 5 mins ago
SledgeSledge
1405
1405
add a comment |
add a comment |
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