MATLAB: Differences between Deep Learning Toolboxes versions 18b and 19a

Question

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?

Answer 1

'IsAverageImageMeanPerChannel' is introduced in R2019a and for 'final layers' dot notation is not supported in 2018b. For more information refer these links

• https://www.mathworks.com/help/releases/R2018b/deeplearning/ug/pretrained-convolutional-neural-networks.html

• https://www.mathworks.com/help/releases/R2018b/deeplearning/examples/train-deep-learning-network-to-classify-new-images.html