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0.3.16
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docs/bundle.0d2f7.esm.js.LICENSE.txt
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/*! For license information please see bundle.0d2f7.esm.js.LICENSE.txt */
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/*! For license information please see bundle.26707.esm.js.LICENSE.txt */
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{"version":3,"sources":[],"names":[],"mappings":"","file":"bundle.0d2f7.esm.js","sourceRoot":""}
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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>
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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.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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{"version":3,"sources":[],"names":[],"mappings":"","file":"polyfills.d377d.esm.js","sourceRoot":""}
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{"version":3,"sources":[],"names":[],"mappings":"","file":"polyfills.1193e.esm.js","sourceRoot":""}
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{"/":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1}},"/AlgoritmiEStruttureDati~route-VlDiGeometria":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-AlgoritmiEStruttureDati~route-VlDiGeometria.chunk.92835.esm.js":{"type":"script","weight":0.9}},"/AlgoritmiEStruttureDati":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-AlgoritmiEStruttureDati.chunk.dcb9c.esm.js":{"type":"script","weight":0.9},"route-AlgoritmiEStruttureDati~route-VlDiGeometria.chunk.4491b.css":{"type":"style","weight":0.9},"route-AlgoritmiEStruttureDati~route-VlDiGeometria.chunk.92835.esm.js":{"type":"script","weight":0.9},"route-AlgoritmiEStruttureDati.chunk.47fcb.css":{"type":"style","weight":0.9}},"/ApprendimentoSistemiArtificiali":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-ApprendimentoSistemiArtificiali.chunk.6ccd3.esm.js":{"type":"script","weight":0.9},"route-ApprendimentoSistemiArtificiali.chunk.b1d4e.css":{"type":"style","weight":0.9}},"/BasiDiDati":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-BasiDiDati.chunk.33463.esm.js":{"type":"script","weight":0.9},"route-BasiDiDati.chunk.ad0db.css":{"type":"style","weight":0.9}},"/CalcoloNumerico":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-CalcoloNumerico.chunk.48969.esm.js":{"type":"script","weight":0.9},"route-CalcoloNumerico.chunk.7cd41.css":{"type":"style","weight":0.9}},"/Fisica":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-Fisica.chunk.c2fac.esm.js":{"type":"script","weight":0.9},"route-Fisica.chunk.53df9.css":{"type":"style","weight":0.9}},"/Home":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-Home.chunk.34c38.esm.js":{"type":"script","weight":0.9},"route-Home.chunk.c578b.css":{"type":"style","weight":0.9}},"/MingwInstall":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-MingwInstall.chunk.a7858.esm.js":{"type":"script","weight":0.9},"route-MingwInstall.chunk.ca122.css":{"type":"style","weight":0.9}},"/NetLogo":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-NetLogo.chunk.8494f.esm.js":{"type":"script","weight":0.9},"route-NetLogo.chunk.a76e0.css":{"type":"style","weight":0.9}},"/OttimizzazioneLineare":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-OttimizzazioneLineare.chunk.e929a.esm.js":{"type":"script","weight":0.9},"route-OttimizzazioneLineare.chunk.2747e.css":{"type":"style","weight":0.9}},"/Statistica":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-Statistica.chunk.293c9.esm.js":{"type":"script","weight":0.9},"route-Statistica.chunk.1abdd.css":{"type":"style","weight":0.9}},"/VlDiGeometria":{"bundle.ada58.css":{"type":"style","weight":1},"bundle.0d2f7.esm.js":{"type":"script","weight":1},"route-VlDiGeometria.chunk.690c2.esm.js":{"type":"script","weight":0.9},"route-AlgoritmiEStruttureDati~route-VlDiGeometria.chunk.4491b.css":{"type":"style","weight":0.9},"route-AlgoritmiEStruttureDati~route-VlDiGeometria.chunk.92835.esm.js":{"type":"script","weight":0.9}}}
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{"version":3,"sources":[],"names":[],"mappings":"","file":"route-ApprendimentoSistemiArtificiali.chunk.6ccd3.esm.js","sourceRoot":""}
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{
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"private": true,
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"name": "appuntiweb",
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"version": "0.3.15",
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"version": "0.3.16",
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"license": "AGPL-3.0-or-later",
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"scripts": {
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"start": "preact watch",
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@ -654,8 +654,8 @@ export default function(props) {
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<td>Somma degli input di un neurone</td>
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</tr>
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<tr>
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<td><BLatex>{r`x_0`}</BLatex></td>
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<td>Neurone di offset</td>
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<td><BLatex>{r`b`}</BLatex></td>
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<td>Bias di un neurone</td>
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</tr>
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</tbody>
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</TablePanel>
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Una <b>rete neurale</b> che viene incapsulata all'interno di un singolo neurone.
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</p>
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<p>
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Utilizza un <b>semipiano di attivazione</b> invece che una soglia.
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La sua emissione è determinata dalla sua funzione di emissione <ILatex>{r`H`}</ILatex>:
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</p>
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<PLatex>{r`
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x_n = H \left( \sum_1^N ( w_n \cdot x_n + b) \right)
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`}</PLatex>
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<p>
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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.
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<ILatex>{r`b`}</ILatex> è una costante configurabile, detta <i>bias</i>, che rappresenta il valore di partenza della somma degli input.
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</p>
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</Panel>
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<Panel title={"Percettrone booleano"}>
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<p>
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<Todo>TODO: scrivere e imparare le formule</Todo>
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Un percettrone la cui funzione di emissione è:
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</p>
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<PLatex>{r`
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\begin{cases}
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1 \qquad se\ v > 0
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0 \qquad se\ v = 0
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-1 \qquad se\ v < 0
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\end{cases}
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`}</PLatex>
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</Panel>
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<Panel title={"Apprendimento"}>
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<p>
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</p>
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</Panel>
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</Section>
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<Panel title={"Rete feed-forward"}>
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<Panel title={"Cos'è?"}>
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<p>
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Un modello a percettroni in cui <b>non si presentano cicli</b>.
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</p>
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<p>
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Alcuni dei neuroni che vi sono all'interno saranno dunque dei <b>neuroni sorgente</b> e dei <b>neuroni pozzo</b>.
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</p>
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</Panel>
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</Panel>
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</div>
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)
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}
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