Zobrazeno 1 - 7
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pro vyhledávání: '"Anthony L. Caterini"'
Autor:
Anthony L. Caterini, Dong Eui Chang
Publikováno v:
Deep Neural Networks in a Mathematical Framework ISBN: 9783319753034
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c413f0eead36d5e0477364911623eb40
https://doi.org/10.1007/978-3-319-75304-1_6
https://doi.org/10.1007/978-3-319-75304-1_6
Autor:
Anthony L. Caterini, Dong Eui Chang
Publikováno v:
Deep Neural Networks in a Mathematical Framework ISBN: 9783319753034
In the previous chapter, we took the first step towards creating a standard mathematical framework for neural networks by developing mathematical tools for vector-valued functions and their derivatives. We use these tools in this chapter to describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14de633888177ccb5f43bdd91aaf8770
https://doi.org/10.1007/978-3-319-75304-1_3
https://doi.org/10.1007/978-3-319-75304-1_3
Autor:
Anthony L. Caterini, Dong Eui Chang
Publikováno v:
Deep Neural Networks in a Mathematical Framework ISBN: 9783319753034
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccce5baa02e7af6dd4a11eae29a161e9
https://doi.org/10.1007/978-3-319-75304-1_1
https://doi.org/10.1007/978-3-319-75304-1_1
Autor:
Anthony L. Caterini, Dong Eui Chang
Publikováno v:
Deep Neural Networks in a Mathematical Framework ISBN: 9783319753034
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67f8bb2af3a7b5750f059a4b6e0b603a
https://doi.org/10.1007/978-3-319-75304-1_2
https://doi.org/10.1007/978-3-319-75304-1_2
Autor:
Anthony L. Caterini, Dong Eui Chang
Publikováno v:
SpringerBriefs in Computer Science ISBN: 9783319753034
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b75b034207062967c6e3d52f54b6b5c3
https://doi.org/10.1007/978-3-319-75304-1
https://doi.org/10.1007/978-3-319-75304-1
Autor:
Dong Eui Chang, Anthony L. Caterini
Publikováno v:
Deep Neural Networks in a Mathematical Framework ISBN: 9783319753034
We developed an algebraic framework for a generic layered network in the preceding chapter, including a method to express error backpropagation and loss function derivatives directly over the inner product space in which the network parameters are de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101aa7a35477a015e537d07b65ef27f7
https://doi.org/10.1007/978-3-319-75304-1_4
https://doi.org/10.1007/978-3-319-75304-1_4
Publikováno v:
ICPADS
Collaborative filtering algorithms are important building blocks in many practical recommendation systems. For example, many large-scale data processing environments include collaborative filtering models for which the Alternating Least Squares (ALS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761f094576ba1abcda69c6c9e1e75090
https://doi.org/10.1109/icpads.2015.91
https://doi.org/10.1109/icpads.2015.91
