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Mike Dusenberry commented on SYSTEMML-1675: ------------------------------------------- cc [~niketanpansare], [~reinwald], [~reinw...@us.ibm.com] > Add a new 2D depthwise transpose convolution layer > -------------------------------------------------- > > Key: SYSTEMML-1675 > URL: https://issues.apache.org/jira/browse/SYSTEMML-1675 > Project: SystemML > Issue Type: Sub-task > Reporter: Mike Dusenberry > Assignee: Mike Dusenberry > Fix For: SystemML 1.0 > > > A depthwise transpose convolution (1) applies a different filter to each > unique group of M input channels separately, thus condensing each group of M > input channels to 1 output channel, and (2) concatenates the results into a > single volume with C/M output channels. This is in contrast to a regular 2D > transpose convolution, in which all of the filters would be applied to all of > the input channels at once. -- This message was sent by Atlassian JIRA (v6.4.14#64029)