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I'm just curious, could we combine neural networks with differential equations to represent the unknown parts of equations for training in BrainPy?
For example, like the DiffEqFlux.jl package in Julia.
Hi,
I'm just curious, could we combine neural networks with differential equations to represent the unknown parts of equations for training in BrainPy?
For example, like the DiffEqFlux.jl package in Julia.
Thank you!