ملف الباحث
Marin Soljačić
ورقة واحدة في مجموعة PaperMetrix
المنشورات
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Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
2016 · arXiv (Cornell University)
Using unitary (instead of general) matrices in artificial neural networks (ANNs) is a promising way to solve the gradient explosion/vanishing problem, as well as to enable ANNs to learn long-term correlations in the data. This …