I'm working on an application that requires a great deal of stastical processing and output as images in a .net desktop application. The problems, including generating the output... moreI'm working on an application that requires a great deal of stastical processing and output as images in a .net desktop application. The problems, including generating the output images, seem like a natural fit for R http://www.r-project.org/
Is there a wrapper, API, SDK, or port that will allow me to call R from .net?
I have a TensorFlow model that I built (a 1D CNN) that I would now like to implement into .NET.In order to do so I need to know the Input and Output nodes.When I uploaded the... moreI have a TensorFlow model that I built (a 1D CNN) that I would now like to implement into .NET.In order to do so I need to know the Input and Output nodes.When I uploaded the model on Netron I get a different graph depending on my save method and the only one that looks correct comes from an h5 upload. Here is the model.summary():
If I save the model as an h5 model.save("Mn_pb_model.h5") and load that into the Netron to graph it, everything looks correct:
However, ML.NET will not accept h5 format so it needs to be saved as a pb.In looking through samples of adopting TensorFlow in ML.NET, this sample shows a TensorFlow model that is saved in a similar format to the SavedModel format - recommended by TensorFlow (and also recommended by ML.NET here "Download an unfrozen ..."). However when saving and loading the pb file into Netron I get this:
And zoomed in a little further (on the far right side),
As you can see, it looks nothing like it should.Additionally the input nodes and output nodes are... less