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pro vyhledávání: '"Charles Chinedu Nworu"'
Singular value decomposition (SVD) of rectangular datasets has proved to be a useful multivariate data decomposition approach because of its ability to decompose both square and rectangular matrices. Choi & Huh (1996) SVD approach utilizes the median
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e0e6ef59bd3b847f9ada8f35e75fb1
https://doi.org/10.21203/rs.3.rs-2089244/v1
https://doi.org/10.21203/rs.3.rs-2089244/v1
The choice of activation functons is very important in deep learning. This is because activation functions are capable of capturing non-linear patterns in a data. The most popular actiavtion function is the Rectified Linear Unit (ReLU) but it suffers
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90413f04333b9f988f960dedde7c7549
https://doi.org/10.21203/rs.3.rs-2064395/v1
https://doi.org/10.21203/rs.3.rs-2064395/v1