Niketan Pansare created SYSTEMML-1384:
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Summary: Revisit the weight and bias of fully connected layer
Key: SYSTEMML-1384
URL: https://issues.apache.org/jira/browse/SYSTEMML-1384
Project: SystemML
Issue Type: Sub-task
Reporter: Niketan Pansare
Since all our bias are column vector (which is consistent with Keras/Caffe),
whereas bias of fully connected layer is a row-vector. Similarly, the weight
that is passed to caffe is transpose of weights passed to SystemML (since both
store in row-major NCHW format).
Making the dimensions consistent will simplify loading of Caffe/Keras models.
[~mwdus...@us.ibm.com]
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