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Reliable interpretability of biology-inspired deep neural networks - npj Systems Biology and Applications

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Reliable interpretability of biology-inspired deep neural networks - npj Systems Biology and Applications

Deep neural networks display impressive performance but suffer from limited interpretability. Biology-inspired deep learning, where the architecture of the computational graph is based on biological knowledge, enables unique interpretability where real-world concepts are encoded in hidden nodes, which can be ranked by importance and thereby interpreted.

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Reliable interpretability of biology-inspired deep neural networks - npj Systems Biology and Applications

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