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Functions are rich in meaning and can be interpreted in a variety of ways.Neural networks were proven to be capable of approximating a large class offunctions[1]. In this paper, we propose a new class of neural networks called"Neural Network Processing Neural Networks" (NNPNNs), which inputs neuralnetworks and numerical values, instead of just numerical values. Thus enablingneural networks to represent and process rich structures.

Neural Network Processing Neural Networks: An efficient way to learn higher order functions