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neural-net-function-solver

TensorFlow-based neural net optimized to solve functions of two variables, z = f(x, y). Model can be trained on an experimental dataset, where the function is unknown, or from data generated directly from an input function.

Example:

Example f(x, y) = cos(r), where r = sqrt(x2 + y2)

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TensorFlow-based neural net optimized to solve functions of two variables, z = f(x, y). Model can be trained on an experimental dataset, where the function is unknown, or from data generated directly from an input function.

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