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Posted to issues@mxnet.apache.org by "Gaurav Gireesh (JIRA)" <ji...@apache.org> on 2018/10/06 00:39:00 UTC
[jira] [Created] (MXNET-1030) Cosine Embedding Loss Function
Gaurav Gireesh created MXNET-1030:
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Summary: Cosine Embedding Loss Function
Key: MXNET-1030
URL: https://issues.apache.org/jira/browse/MXNET-1030
Project: Apache MXNet
Issue Type: New Feature
Components: Gluon
Reporter: Gaurav Gireesh
For a target label 1 or -1, vectors target and prediction, the function computes the cosine distance between the vectors. This can be interpreted as how similar/dissimilar two input vectors are.
Can be used as a loss function while training models.
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