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- W2892290645 abstract "The least squares method is one of the most fundamental methods in Statistics to estimate correlations among various data. On the other hand, Deep Learning is the heart of Artificial Intelligence and it is a learning method based on the least squares method, in which a parameter called learning rate plays an important role. It is in general very hard to determine its value. In this paper we generalize the preceding paper [K. Fujii: Least squares method from the view point of Deep Learning: Advances in Pure Mathematics, 8, 485-493, 2018] and give an admissible value of the learning rate, which is easily obtained." @default.
- W2892290645 created "2018-09-27" @default.
- W2892290645 creator A5082267849 @default.
- W2892290645 date "2018-01-01" @default.
- W2892290645 modified "2023-09-25" @default.
- W2892290645 title "Least Squares Method from the View Point of Deep Learning II: Generalization" @default.
- W2892290645 doi "https://doi.org/10.4236/apm.2018.89048" @default.
- W2892290645 hasPublicationYear "2018" @default.
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