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This repository has been archived by the owner on Jul 10, 2021. It is now read-only.
In pull request #157 I describe how when you use a batch size, the lasagne backend does not train with all of the data, only blocks of that batch size (leaving out the bit at the end). Also, if batch_size is greater than the total data size, it won't iterate over any data at all and will die with a zero division error.
The text was updated successfully, but these errors were encountered:
In pull request #157 I describe how when you use a batch size, the lasagne backend does not train with all of the data, only blocks of that batch size (leaving out the bit at the end). Also, if batch_size is greater than the total data size, it won't iterate over any data at all and will die with a zero division error.
The text was updated successfully, but these errors were encountered: