We are investigating Deep Learning for predictive modeling to identify instrument subsystem failures using R and Python packages. Since Deep Learning is similar to neural nets, perhaps these can be used as the basis of a script to expand the number of layers. Deep Learning would be a good tool for future versions of JMP Pro.
It sounds like a great idea.
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