Regarding Input shape of data into CNN deep learning extension

varunm1varunm1 Moderator, Member Posts: 1,045   Unicorn
edited January 2019 in Help

In the current deep learning extension, how is the input shape of CNN considered? In tensorflow, when I train images(converted to pixels) the shape of an array is (nb_samples, rows, columns, channels) for a 2d Conv. How will this happen in CNN of RM? Can we specify the samples? Is there a different convolution 1D or 2D or 3D option that can be chosen which I didn't find in the operator. 

@hughesfleming68 any input on this?



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