MATLAB: Is there a difference in the activations functions between MatLab verison 2017b and 2018a

activationserrorsMATLABneural networkversion difference

I'm using the same activations function (below), but I'm getting errors in MatLab 2017b in comparison to no errors in MatLab 2018a.
testFeatures = activations(myNetwork,semiImg,layer,'OutputAs', 'rows');
In my neural network semiImg is replaced by a augmentedDataSource object, whereas in my actual code where I run the network its a n by m by 3 matrix (representing an Image).
The thing is, in MatLab 2018a it works fine, but in MatLab 2017b it gives me an error (shows below).
Struct contents reference from a non-struct array object.
Error in nnet.internal.cnn.layer.Layer>@(x)x.Name (line 161)
            layerNames = cellfun(@(x)x.Name, layers, 'UniformOutput', false);
Error in nnet.internal.cnn.layer.Layer.getLayerNames (line 161)
            layerNames = cellfun(@(x)x.Name, layers, 'UniformOutput', false);
Error in nnet.internal.cnn.layer.Layer.findLayerByName (line 156)
            layerNames = nnet.internal.cnn.layer.Layer.getLayerNames(layers);
Error in nnet.internal.cnn.util.validateNetworkLayerNameOrIndex (line 11)
    [layerIndex, layerNames] = nnet.internal.cnn.layer.Layer.findLayerByName(internalLayers, name);
Error in SeriesNetwork/activations (line 747)
            layerID = nnet.internal.cnn.util.validateNetworkLayerNameOrIndex(layerID, internalLayers, 'activations');
Error in Segmentation (line 221)
    testColourFeatures = activations(myNetwork,semiImg,layer,'OutputAs', 'rows');

Best Answer

According to the documentation, the augmentedImageDatastore object was introduced in R2018a. So, it makes sense that R2017 won't recognize it.
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