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Rete Neurale Ricorrente (RNN) - Cronologia
2026-05-14T17:29:44Z
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Mindmakerbot il 13:47, 17 ago 2024
2024-08-17T13:47:20Z
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> |keywords=<del style="font-weight: bold; text-decoration: none;">"</del>reti neurali<del style="font-weight: bold; text-decoration: none;">"</del>, "deep learning", "intelligenza artificiale", "apprendimento automatico", "RNN", "reti neurali ricorrenti", "elaborazione del linguaggio naturale", "serie temporali", "modelli predittivi", "algoritmi di apprendimento"</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> |keywords=reti neurali, "deep learning", "intelligenza artificiale", "apprendimento automatico", "RNN", "reti neurali ricorrenti", "elaborazione del linguaggio naturale", "serie temporali", "modelli predittivi", "algoritmi di apprendimento"</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> |description=<del style="font-weight: bold; text-decoration: none;">"</del>Le Reti Neurali Ricorrenti (RNN) sono un tipo di rete neurale artificiale particolarmente adatta all'elaborazione di sequenze di dati. Questo articolo spiega il funzionamento delle RNN, la loro struttura e le loro applicazioni, come l'elaborazione del linguaggio naturale e le serie temporali.<del style="font-weight: bold; text-decoration: none;">"</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> |description=Le Reti Neurali Ricorrenti (RNN) sono un tipo di rete neurale artificiale particolarmente adatta all'elaborazione di sequenze di dati. Questo articolo spiega il funzionamento delle RNN, la loro struttura e le loro applicazioni, come l'elaborazione del linguaggio naturale e le serie temporali.</div></td></tr>
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Mindmakerbot
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=2732&oldid=prev
Mindmakerbot il 13:34, 17 ago 2024
2024-08-17T13:34:41Z
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<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"> |keywords="reti neurali", "deep learning", "intelligenza artificiale", "apprendimento automatico", "RNN", "reti neurali ricorrenti", "elaborazione del linguaggio naturale", "serie temporali", "modelli predittivi", "algoritmi di apprendimento"</ins></div></td></tr>
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Mindmakerbot
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=2317&oldid=prev
Alesaccoia il 15:13, 27 mag 2024
2024-05-27T15:13:11Z
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[https://www.youtube.com/watch?v=AsNTP8Kwu80 Miglior Tutorial su Youtube]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[https://www.youtube.com/watch?v=AsNTP8Kwu80 Miglior Tutorial su Youtube]</div></td></tr>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[https://gist.github.com/karpathy/d4dee566867f8291f086 Karpathy: Minimal character-level Vanilla RNN model in C]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[https://gist.github.com/karpathy/d4dee566867f8291f086 Karpathy: Minimal character-level Vanilla RNN model in C]</div></td></tr>
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Alesaccoia
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=2316&oldid=prev
Alesaccoia il 15:12, 27 mag 2024
2024-05-27T15:12:55Z
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Pubblicazione=Finding Structure in Time</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|Pubblicazione=Finding Structure in Time</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|Topic=sequenze</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|URLHomePage=https://onlinelibrary.wiley.com/doi/epdf/10.1207/s15516709cog1402_1</ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|Topic=sequenze<ins style="font-weight: bold; text-decoration: none;">, Reti neurali</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>}}</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sono una delle due tipologie in cui si dividono le Reti Neurali, insieme a quella [[Feed-Forward]], dalla quale si differenziano per avere la capacità di "memoria": l'output a una determinata esecuzione non dipende solamente dall'input corrente, ma anche dagli output passati. Questo le rende particolarmente adatte all'elaborazione di '''sequenze di lunghezza arbitraria'''. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sono una delle due tipologie in cui si dividono le Reti Neurali, insieme a quella [[Feed-Forward]], dalla quale si differenziano per avere la capacità di "memoria": l'output a una determinata esecuzione non dipende solamente dall'input corrente, ma anche dagli output passati. Questo le rende particolarmente adatte all'elaborazione di '''sequenze di lunghezza arbitraria'''. </div></td></tr>
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Alesaccoia
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=2288&oldid=prev
Alesaccoia il 07:50, 23 apr 2024
2024-04-23T07:50:55Z
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</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Riga 1:</td>
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<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">{{template architettura</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Nome: [[Nome::Rete Neurale Ricorrente]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|</ins>NomeInglese<ins style="font-weight: bold; text-decoration: none;">=</ins>Recurrent Neural Networks</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|</ins>Sigla<ins style="font-weight: bold; text-decoration: none;">=</ins>RNN</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Nome Inglese: [[</del>NomeInglese<del style="font-weight: bold; text-decoration: none;">::</del>Recurrent Neural Networks<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|</ins>AnnoDiCreazione<ins style="font-weight: bold; text-decoration: none;">=</ins>1990</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Pubblicazione=</ins>Finding Structure in Time</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Sigla<del style="font-weight: bold; text-decoration: none;">: [[Sigla::</del>RNN<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">|Topic=sequenze</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">}}</ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Anno Di Creazione: [[</del>AnnoDiCreazione<del style="font-weight: bold; text-decoration: none;">::</del>1990<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Pubblicazioni: [[Pubblicazioni::</del>Finding Structure in Time<del style="font-weight: bold; text-decoration: none;">]]; [[Pubblicazioni::Generating Sequences With Recurrent Neural Networks]]; [[Pubblicazioni::The Unreasonable Effectiveness of Recurrent Neural Networks]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"> </del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sono una delle due tipologie in cui si dividono le Reti Neurali, insieme a quella [[Feed-Forward]], dalla quale si differenziano per avere la capacità di "memoria": l'output a una determinata esecuzione non dipende solamente dall'input corrente, ma anche dagli output passati. Questo le rende particolarmente adatte all'elaborazione di '''sequenze di lunghezza arbitraria'''. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sono una delle due tipologie in cui si dividono le Reti Neurali, insieme a quella [[Feed-Forward]], dalla quale si differenziano per avere la capacità di "memoria": l'output a una determinata esecuzione non dipende solamente dall'input corrente, ma anche dagli output passati. Questo le rende particolarmente adatte all'elaborazione di '''sequenze di lunghezza arbitraria'''. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
</table>
Alesaccoia
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=1974&oldid=prev
Sara Maserati il 10:02, 10 apr 2024
2024-04-10T10:02:43Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<col class="diff-marker" />
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 10:02, 10 apr 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l9">Riga 9:</td>
<td colspan="2" class="diff-lineno">Riga 9:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Pubblicazioni: [[Pubblicazioni::Finding Structure in Time]]; [[Pubblicazioni::Generating Sequences With Recurrent Neural Networks]]; [[Pubblicazioni::The Unreasonable Effectiveness of Recurrent Neural Networks]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Pubblicazioni: [[Pubblicazioni::Finding Structure in Time]]; [[Pubblicazioni::Generating Sequences With Recurrent Neural Networks]]; [[Pubblicazioni::The Unreasonable Effectiveness of Recurrent Neural Networks]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"> </del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"> </ins></div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Topic: [[Topic::Reti Neurali che hanno capacità di "memoria"]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
</table>
Sara Maserati
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=1960&oldid=prev
Ilaria Maserati il 09:58, 10 apr 2024
2024-04-10T09:58:38Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="it">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 09:58, 10 apr 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l28">Riga 28:</td>
<td colspan="2" class="diff-lineno">Riga 28:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|600x600px|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|600x600px|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Rete Neurale Ricorrente (RNN).png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente (RNN) - RNN Standard e RNN Srotolata]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Rete Neurale Ricorrente (RNN).png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente (RNN) - RNN Standard e RNN Srotolata]]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[<del style="font-weight: bold; text-decoration: none;">File:</del>File:Rete Neurale Ricorrente - Funzionamento.png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente - Funzionamento]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Rete Neurale Ricorrente - Funzionamento.png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente - Funzionamento]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td></tr>
</table>
Ilaria Maserati
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=1959&oldid=prev
Ilaria Maserati il 09:58, 10 apr 2024
2024-04-10T09:58:15Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 09:58, 10 apr 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l26">Riga 26:</td>
<td colspan="2" class="diff-lineno">Riga 26:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* I vettori precedenti vengono sommati, e questa somma è il nuovo valore del vettore del layer nascosto, '''H_t'''</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* I vettori precedenti vengono sommati, e questa somma è il nuovo valore del vettore del layer nascosto, '''H_t'''</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Questo valore viene poi passato da un Layer di pesi e bias per ottenere i [[Logit (Reti Neurali)|logit]] in output</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Questo valore viene poi passato da un Layer di pesi e bias per ottenere i [[Logit (Reti Neurali)|logit]] in output</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|<del style="font-weight: bold; text-decoration: none;">899x899px</del>|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|<ins style="font-weight: bold; text-decoration: none;">600x600px</ins>|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Rete Neurale Ricorrente (RNN).png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente (RNN) - RNN Standard e RNN Srotolata]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Rete Neurale Ricorrente (RNN).png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente (RNN) - RNN Standard e RNN Srotolata]]</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[File:File:Rete Neurale Ricorrente - Funzionamento.png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente - Funzionamento]]</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td></tr>
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Ilaria Maserati
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=1956&oldid=prev
Ilaria Maserati il 09:55, 10 apr 2024
2024-04-10T09:55:56Z
<p></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 09:55, 10 apr 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l27">Riga 27:</td>
<td colspan="2" class="diff-lineno">Riga 27:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Questo valore viene poi passato da un Layer di pesi e bias per ottenere i [[Logit (Reti Neurali)|logit]] in output</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Questo valore viene poi passato da un Layer di pesi e bias per ottenere i [[Logit (Reti Neurali)|logit]] in output</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|899x899px|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Calcolo Matriciale RNN.png|nessuno|miniatura|899x899px|Figura 1: Calcolo matriciale all'interno di una RNN]]</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[File:Rete Neurale Ricorrente (RNN).png|nessuno|miniatura|600x600px|Rete Neurale Ricorrente (RNN) - RNN Standard e RNN Srotolata]]</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Tutorial ==</div></td></tr>
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Ilaria Maserati
https://wiki.mindmaker.it/index.php?title=Rete_Neurale_Ricorrente_(RNN)&diff=1851&oldid=prev
Sara Maserati il 08:49, 9 apr 2024
2024-04-09T08:49:18Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Versione meno recente</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Versione delle 08:49, 9 apr 2024</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l8">Riga 8:</td>
<td colspan="2" class="diff-lineno">Riga 8:</td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Anno Di Creazione: [[AnnoDiCreazione::1990]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Anno Di Creazione: [[AnnoDiCreazione::1990]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Pubblicazioni: [[Pubblicazioni::Finding Structure in Time]] [[Pubblicazioni::Generating Sequences With Recurrent Neural Networks]] [[Pubblicazioni::The Unreasonable Effectiveness of Recurrent Neural Networks]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Pubblicazioni: [[Pubblicazioni::Finding Structure in Time]]<ins style="font-weight: bold; text-decoration: none;">; </ins>[[Pubblicazioni::Generating Sequences With Recurrent Neural Networks]]<ins style="font-weight: bold; text-decoration: none;">; </ins>[[Pubblicazioni::The Unreasonable Effectiveness of Recurrent Neural Networks]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Topic: [[Topic::Reti Neurali che hanno capacità di "memoria"]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Topic: [[Topic::Reti Neurali che hanno capacità di "memoria"]]</div></td></tr>
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Sara Maserati