https://marovi.ai/index.php?action=history&feed=atom&title=Translations%3ANeural_Networks%2F1%2Fzh 2026-04-28T03:30:13Z Revision history for this page on the wiki MediaWiki 1.39.1 https://marovi.ai/index.php?title=Translations:Neural_Networks/1/zh&diff=17905&oldid=prev 2026-04-27T23:40:56Z

<p>Batch translate Neural Networks unit 1 → zh</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:40, 27 April 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;（也称为&#039;&#039;&#039;人工神经网络&#039;&#039;&#039;，或 <del style="font-weight: bold; text-decoration: none;">ANN）是受生物神经系统结构启发的计算模型。它们由称为</del>&#039;&#039;&#039;神经元&#039;&#039;&#039;<del style="font-weight: bold; text-decoration: none;">（或节点）的简单处理单元的互连层组成，是现代深度学习的基础。</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;（也称为&#039;&#039;&#039;人工神经网络&#039;&#039;&#039;，或 <ins style="font-weight: bold; text-decoration: none;">ANN）是受生物神经系统结构启发的计算模型。它们由相互连接的简单处理单元层组成，这些单元称为</ins>&#039;&#039;&#039;神经元&#039;&#039;&#039;<ins style="font-weight: bold; text-decoration: none;">（或节点），是现代{{Term|deep learning|深度学习}}的基础。</ins></div></td></tr> <!-- diff cache key mediawiki:diff::1.12:old-14834:rev-17905 --> </table>

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<p>Batch translate Neural Networks unit 1 → zh</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 22:02, 27 April 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;（也称为&#039;&#039;&#039;人工神经网络&#039;&#039;&#039;，或 <del style="font-weight: bold; text-decoration: none;">ANN）是受生物神经系统结构启发的计算模型。它们由互连的简单处理单元层组成，这些单元称为</del>&#039;&#039;&#039;神经元&#039;&#039;&#039;<del style="font-weight: bold; text-decoration: none;">（或节点），构成了现代深度学习的基础。</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;（也称为&#039;&#039;&#039;人工神经网络&#039;&#039;&#039;，或 <ins style="font-weight: bold; text-decoration: none;">ANN）是受生物神经系统结构启发的计算模型。它们由称为</ins>&#039;&#039;&#039;神经元&#039;&#039;&#039;<ins style="font-weight: bold; text-decoration: none;">（或节点）的简单处理单元的互连层组成，是现代深度学习的基础。</ins></div></td></tr> <!-- diff cache key mediawiki:diff::1.12:old-5307:rev-14834 --> </table>

DeployBot https://marovi.ai/index.php?title=Translations:Neural_Networks/1/zh&diff=5307&oldid=prev 2026-04-27T03:34:58Z

<p>Batch translate Neural Networks unit 1 → zh</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 03:34, 27 April 2026</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;<del style="font-weight: bold; text-decoration: none;">（neural networks，也称为 </del>&#039;&#039;&#039;人工神经网络&#039;&#039;&#039; <del style="font-weight: bold; text-decoration: none;">或 ANN）是受生物神经系统结构启发而设计的计算模型。它由若干层简单的处理单元——称为 </del>&#039;&#039;&#039;神经元&#039;&#039;&#039;<del style="font-weight: bold; text-decoration: none;">（或节点）——相互连接而成，是现代深度学习的基础。</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>&#039;&#039;&#039;神经网络&#039;&#039;&#039;<ins style="font-weight: bold; text-decoration: none;">（也称为</ins>&#039;&#039;&#039;人工神经网络&#039;&#039;&#039;<ins style="font-weight: bold; text-decoration: none;">，或 ANN）是受生物神经系统结构启发的计算模型。它们由互连的简单处理单元层组成，这些单元称为</ins>&#039;&#039;&#039;神经元&#039;&#039;&#039;<ins style="font-weight: bold; text-decoration: none;">（或节点），构成了现代深度学习的基础。</ins></div></td></tr> </table>

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<p>[deploy-bot] Translate Neural Networks unit 1 to zh</p> <p><b>New page</b></p><div>&#039;&#039;&#039;神经网络&#039;&#039;&#039;（neural networks，也称为 &#039;&#039;&#039;人工神经网络&#039;&#039;&#039; 或 ANN）是受生物神经系统结构启发而设计的计算模型。它由若干层简单的处理单元——称为 &#039;&#039;&#039;神经元&#039;&#039;&#039;（或节点）——相互连接而成，是现代深度学习的基础。</div>

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