<?php
/*
dobu {
file:id(`5`),name(`binaryCrossEntropy-n`) {
ascoos {
logo {`
__ _ ___ ___ ___ ___ ___ ___ ___
/ _` |/ / / __/ _ \ / _ \ / / / _ \ / /
| (_| |\ \| (_| (_) | (_) |\ \ | (_) |\ \
\__,_|/__/ \___\___/ \___/ /__/ \___/ /__/
`},
name {`ASCOOS OS`},
version {`1.0.0`},
},
example {
method {`TArtificialIntelligenceHandler::binaryCrossEntropy()`}
source {`examples/ai/TArtificialIntelligenceHandler/binaryCrossEntropy-n.php`},
category:langs {
en {`N-Dimensional Numeric Arrays`},
el {`???????????? ?????????? ??????????`}
},
description:langs {
en {`Computes the Binary Cross-Entropy loss for N-Dimensional arrays recursively.`},
el {`?????????? ??? ??????? ?????????? ??????????????? ????????? ??? N-????????????? ??????? ?? ?????????? ????????.`}
},
author {`Drogidis Christos`},
sincePHP {`8.4.0`}
}
}
}
*/
declare(strict_types=1);
use ASCOOS\OS\Kernel\AI\TArtificialIntelligenceHandler;
$ai = new TArtificialIntelligenceHandler([], []);
$y_true = [
[[1, 0], [0, 1]],
[[1, 1], [0, 0]]
];
$y_pred = [
[[0.9, 0.1], [0.1, 0.9]],
[[0.9, 0.9], [0.1, 0.1]]
];
$loss = $ai->binaryCrossEntropy($y_true, $y_pred);
echo "Binary Cross-Entropy Loss (3D): {$loss}\n"; // Expected output: Binary Cross-Entropy Loss (3D): 0.10536051565783
?>
|
Download
