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<meta property="og:description" content="VITS前置知识GAN(生成式对抗网络) 图例 D:判别器 G:生成器 z:简单分布 D和G分别交叉训练 当训练D的时候，固定G，直到D能区分是真实的x还是虚假的G(z) 当训练G的时候，固定D，能够让G生成的fake数据欺骗判别器D生成器和判别器公式VAE(Variational Auto-encoder) 变分自编码器">
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<h4 id="图例"><a href="#图例" class="headerlink" title="图例"></a>图例</h4><ul>
<li>D:判别器</li>
<li>G:生成器</li>
<li>z:简单分布</li>
<li>D和G分别交叉训练<ul>
<li>当训练D的时候，固定G，直到D能区分是真实的x还是虚假的G(z)</li>
<li>当训练G的时候，固定D，能够让G生成的fake数据欺骗判别器D<h4 id="生成器和判别器公式"><a href="#生成器和判别器公式" class="headerlink" title="生成器和判别器公式"></a>生成器和判别器公式</h4><img src="https://pic-1257960926.cos.ap-guangzhou.myqcloud.com/blog/2024/09/16/17264751004966.jpg" alt><h3 id="VAE-Variational-Auto-encoder-变分自编码器"><a href="#VAE-Variational-Auto-encoder-变分自编码器" class="headerlink" title="VAE(Variational Auto-encoder) 变分自编码器"></a>VAE(Variational Auto-encoder) 变分自编码器</h3></li>
</ul>
</li>
</ul>
</article><div class="post-copyright"><div class="post-copyright__author"><span class="post-copyright-meta">文章作者: </span><span class="post-copyright-info"><a href="https://www.scery.com">HaoDong Wu</a></span></div><div class="post-copyright__type"><span class="post-copyright-meta">文章链接: </span><span class="post-copyright-info"><a href="https://www.scery.com/VITS.htm">https://www.scery.com/VITS.htm</a></span></div><div class="post-copyright__notice"><span class="post-copyright-meta">版权声明: </span><span class="post-copyright-info">本博客所有文章除特别声明外，均采用 <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/" target="_blank">CC BY-NC-SA 4.0</a> 许可协议。转载请注明来自 <a href="https://www.scery.com" target="_blank">Anthony's Blog</a>！</span></div></div><div class="tag_share"><div class="post-meta__tag-list"></div><div class="post_share"><div class="social-share" data-image="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" 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class="toc-percentage"></span></div><div class="toc-content"><ol class="toc"><li class="toc-item toc-level-1"><a class="toc-link" href="#VITS"><span class="toc-number">1.</span> <span class="toc-text">VITS</span></a><ol class="toc-child"><li class="toc-item toc-level-2"><a class="toc-link" href="#%E5%89%8D%E7%BD%AE%E7%9F%A5%E8%AF%86"><span class="toc-number">1.1.</span> <span class="toc-text">前置知识</span></a><ol class="toc-child"><li class="toc-item toc-level-3"><a class="toc-link" href="#GAN-%E7%94%9F%E6%88%90%E5%BC%8F%E5%AF%B9%E6%8A%97%E7%BD%91%E7%BB%9C"><span class="toc-number">1.1.1.</span> <span class="toc-text">GAN(生成式对抗网络)</span></a><ol class="toc-child"><li class="toc-item toc-level-4"><a class="toc-link" href="#%E5%9B%BE%E4%BE%8B"><span class="toc-number">1.1.1.1.</span> <span class="toc-text">图例</span></a></li><li class="toc-item toc-level-4"><a class="toc-link" href="#%E7%94%9F%E6%88%90%E5%99%A8%E5%92%8C%E5%88%A4%E5%88%AB%E5%99%A8%E5%85%AC%E5%BC%8F"><span class="toc-number">1.1.1.2.</span> <span class="toc-text">生成器和判别器公式</span></a></li></ol></li><li class="toc-item toc-level-3"><a class="toc-link" href="#VAE-Variational-Auto-encoder-%E5%8F%98%E5%88%86%E8%87%AA%E7%BC%96%E7%A0%81%E5%99%A8"><span class="toc-number">1.1.2.</span> <span class="toc-text">VAE(Variational Auto-encoder) 变分自编码器</span></a></li></ol></li></ol></li></ol></div></div><div class="card-widget card-recent-post"><div class="item-headline"><i class="fas fa-history"></i><span>最新文章</span></div><div class="aside-list"><div class="aside-list-item no-cover"><div class="content"><a class="title" href="../XT20%E4%BD%BF%E7%94%A8%E6%96%B0%E6%9C%BA%E5%9E%8B%E7%9A%84%E9%A2%84%E8%AE%BE.htm" title="无题">无题</a><time datetime="2025-01-04T04:30:41.696Z" title="发表于 2025-01-04 12:30:41">2025-01-04</time></div></div><div class="aside-list-item no-cover"><div class="content"><a class="title" href="../%E7%BB%84%E4%BC%9A/20241223%E7%BB%84%E4%BC%9A.htm" title="20241223组会">20241223组会</a><time 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