Build tensorflow dataset iterator that produce batches with special structure
Multi tool use
Clash Royale CLAN TAG#URR8PPPBuild tensorflow dataset iterator that produce batches with special structure
As I mentioned in the title I need batches with special structure:
1111
5555
2222
Each digit represent feature-vector. So there are N=4 vectors of each classes {1,2,5} (M=3) and batch size is NxM=12.
N=4
{1,2,5}
M=3
NxM=12
To accomplish this task I'm using Tensorflow Dataset API and tfrecords:
M
N
My concern is that I have hundreds (and maybe thousands in the feature) of classes and storing iterator for each class doesn't look good (from memory and performance perspective).
Is there a better way?
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