Differences between Deep Learning Toolboxes versions 18b and 19a
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I have successfully set up a GoogLeNet network using the Deep Learning Toolbox (version 19a) on a standalone computer. I copied the LayerGraph variable to my networked computer which runs version 18b. When I load the variable I get the following warnings and the LayerGraph variable is empty:
Warning: While loading an object of class 'nnet.cnn.layer.ImageInputLayer':
Reference to non-existent field 'IsAverageImageMeanPerChannel'.
Warning: While loading an object of class 'nnet.cnn.layer.FullyConnectedLayer':
Index exceeds the number of array elements (1).
Warning: While loading an object of class 'nnet.cnn.LayerGraph':
Dot indexing is not supported for variables of this type.
I have read the release notes for the Deep Learning Toolbox version 19a, and cannot see why it should not be backward compatible (although I admit that I did not fully understand all the comments).
Am I trying to do something that is impossible, or have I overlooked something?
Shubh Sahu on 20 Sep 2019
'IsAverageImageMeanPerChannel' is introduced in R2019a and for 'final layers' dot notation is not supported in 2018b. For more information refer these links