Publication detail

Vector Spaces in the Context of Neural Networks.

SMETANA, B.

Original Title

Vector Spaces in the Context of Neural Networks.

Type

conference paper

Language

English

Original Abstract

Input and output signals in the neural network can be understood as vectors. Vector spaces in the neural network can be defined more broadly, which lets you search for similarities with other algebraic structures. This article describes these similarities.

Keywords

Euclidean Space, Linear Vector Space, Operation.

Authors

SMETANA, B.

Released

1. 6. 2017

Location

Brno

ISBN

978-80-7231-419-5

Book

XXXV. International Colloquium on the Management of Educational Process

Edition

1

Edition number

1

Pages from

1

Pages to

4

Pages count

4

BibTex

@inproceedings{BUT135951,
  author="Bedřich {Smetana}",
  title="Vector Spaces in the Context of Neural Networks.",
  booktitle="XXXV. International Colloquium on the Management of Educational Process",
  year="2017",
  series="1",
  number="1",
  pages="1--4",
  address="Brno",
  isbn="978-80-7231-419-5"
}