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/*! For license information please see bundle.26707.esm.js.LICENSE.txt */

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<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>Appunti Web</title><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><link rel="apple-touch-icon" href="./assets/icons/apple-touch-icon.png"><link rel="manifest" href="/manifest.json"><meta name="theme-color" content="#a0ccff"><link rel="shortcut icon" href="/favicon.ico"><style>*{box-sizing:border-box}body{background-color:#0d193b;color:#a0ccff;font-family:Arial,sans-serif}</style><link href="/bundle.ada58.css" rel="preload" as="style" onload="this.rel='stylesheet'"><noscript><link rel="stylesheet" href="/bundle.ada58.css"></noscript></head><body><script type="__PREACT_CLI_DATA__">{"preRenderData":{"url":"/"}}</script><script nomodule="">!function(){var e=document,t=e.createElement("script");if(!("noModule"in t)&&"onbeforeload"in t){var n=!1;e.addEventListener("beforeload",function(e){if(e.target===t)n=!0;else if(!e.target.hasAttribute("nomodule")||!n)return;e.preventDefault()},!0),t.type="module",t.src=".",e.head.appendChild(t),t.remove()}}();</script><script crossorigin="anonymous" src="/bundle.0d2f7.esm.js" type="module"></script><script nomodule="" src="/polyfills.821ab.js"></script><script nomodule="" defer="defer" src="/bundle.425d0.js"></script></body></html> <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>Appunti Web</title><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-capable" content="yes"><link rel="apple-touch-icon" href="./assets/icons/apple-touch-icon.png"><link rel="manifest" href="/manifest.json"><meta name="theme-color" content="#a0ccff"><link rel="shortcut icon" href="/favicon.ico"><style>*{box-sizing:border-box}body{background-color:#0d193b;color:#a0ccff;font-family:Arial,sans-serif}</style><link href="/bundle.ada58.css" rel="preload" as="style" onload="this.rel='stylesheet'"><noscript><link rel="stylesheet" href="/bundle.ada58.css"></noscript></head><body><script type="__PREACT_CLI_DATA__">{"preRenderData":{"url":"/"}}</script><script nomodule="">!function(){var e=document,t=e.createElement("script");if(!("noModule"in t)&&"onbeforeload"in t){var n=!1;e.addEventListener("beforeload",function(e){if(e.target===t)n=!0;else if(!e.target.hasAttribute("nomodule")||!n)return;e.preventDefault()},!0),t.type="module",t.src=".",e.head.appendChild(t),t.remove()}}();</script><script crossorigin="anonymous" src="/bundle.26707.esm.js" type="module"></script><script nomodule="" src="/polyfills.d7884.js"></script><script nomodule="" defer="defer" src="/bundle.1df6c.js"></script></body></html>

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{ {
"private": true, "private": true,
"name": "appuntiweb", "name": "appuntiweb",
"version": "0.3.15", "version": "0.3.16",
"license": "AGPL-3.0-or-later", "license": "AGPL-3.0-or-later",
"scripts": { "scripts": {
"start": "preact watch", "start": "preact watch",

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<td>Somma degli input di un neurone</td> <td>Somma degli input di un neurone</td>
</tr> </tr>
<tr> <tr>
<td><BLatex>{r`x_0`}</BLatex></td> <td><BLatex>{r`b`}</BLatex></td>
<td>Neurone di offset</td> <td>Bias di un neurone</td>
</tr> </tr>
</tbody> </tbody>
</TablePanel> </TablePanel>
@ -666,14 +666,26 @@ export default function(props) {
Una <b>rete neurale</b> che viene incapsulata all'interno di un singolo neurone. Una <b>rete neurale</b> che viene incapsulata all'interno di un singolo neurone.
</p> </p>
<p> <p>
Utilizza un <b>semipiano di attivazione</b> invece che una soglia. La sua emissione è determinata dalla sua funzione di emissione <ILatex>{r`H`}</ILatex>:
</p> </p>
<PLatex>{r`
x_n = H \left( \sum_1^N ( w_n \cdot x_n + b) \right)
`}</PLatex>
<p> <p>
Ai neuroni in input si aggiunge un neurone speciale <ILatex>{r`x_0`}</ILatex> detto <b>neurone di offset</b> che permette di semplificare la formula. <ILatex>{r`b`}</ILatex> è una costante configurabile, detta <i>bias</i>, che rappresenta il valore di partenza della somma degli input.
</p> </p>
</Panel>
<Panel title={"Percettrone booleano"}>
<p> <p>
<Todo>TODO: scrivere e imparare le formule</Todo> Un percettrone la cui funzione di emissione è:
</p> </p>
<PLatex>{r`
\begin{cases}
1 \qquad se\ v > 0
0 \qquad se\ v = 0
-1 \qquad se\ v < 0
\end{cases}
`}</PLatex>
</Panel> </Panel>
<Panel title={"Apprendimento"}> <Panel title={"Apprendimento"}>
<p> <p>
@ -684,6 +696,16 @@ export default function(props) {
</p> </p>
</Panel> </Panel>
</Section> </Section>
<Panel title={"Rete feed-forward"}>
<Panel title={"Cos'è?"}>
<p>
Un modello a percettroni in cui <b>non si presentano cicli</b>.
</p>
<p>
Alcuni dei neuroni che vi sono all'interno saranno dunque dei <b>neuroni sorgente</b> e dei <b>neuroni pozzo</b>.
</p>
</Panel>
</Panel>
</div> </div>
) )
} }