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Description
In order to solve the system for nonlinear integrator, a destruct function and reconstruct function would be quite useful. The destruct should have two return values : the flattened parameters in the network, (NamedTuple{...} into a 1d vector), and a destruct function to refill the vector into network.
A generalized idea is to specify the degree of freedoms in a nonlinear expression (not just neural network), and flatten them into a vector, and meanwhile a reconstruct function.
Not quite sure whether these functions should be in SymbolicNeuralNetworks.jl or AbstractNeuralNetworks.jl
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enhancementNew feature or requestNew feature or request