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Least Squares Method from the View Point of Deep Learning II: Generalization

  • Advances in Pure Mathematics
  • Scientific Research Publishing
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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.

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DOI
10.4236/apm.2018.89048
OpenAlex
W2892290645
Document type
article
Language
EN
Source
Advances in Pure Mathematics
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