When I'm using the Matlab Point Cloud Classification Using PointNet, there's an error in the example code. Is there any way for me to fix the methods regarding the SydneyUrbanObjects data set so the example can run properly?

When I'm using the Matlab Point Cloud Classification Using PointNet, there's an error in the example code. Is there any way for me to fix the methods regarding the SydneyUrbanObjects data set so the example can run properly?

[Steven Lord]

Please include a link to the specific example that throws the error, show the full and exact text of the error message (including all the text displayed in red and/or orange) and state which release of MATLAB you are using.

[lu xu]

'modelGradients' :

Generate Synthetic Signals Using Conditional GAN

Model-Based Reinforcement Learning Using Custom Training Loop

error: deep.internal.dlfeval (Line 17)

[varargout{1:nargout}] = fun(x{:});

error: deep.internal.dlfevalWithNestingCheck (Line 19)

[varargout{1:nargout}] = deep.internal.dlfeval(fun,varargin{:});

error: dlfeval (Line 31)

[varargout{1:nargout}] = deep.internal.dlfevalWithNestingCheck(fun,varargin{:});

error:

[gradients, loss, state, acc] = dlfeval(@modelGradients,XTrain,YTrain,parameters,state);