A logico-mathematical foundation for deep learning in artificial intelligence is proposed using Kroneckers theory of homogeneous polynomials and Hensels lifting lemma in modular arithmetic. It is suggested that such a foundation is appropriate for the multileveled architec tures of deep learning scenarios in artificial intelligence.
Yvon Gauthier. Arithmetical Logic for AI Deep Learning.
DOI: https://doi.org/10.36478/ijscomp.2018.31.36
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2018.31.36