<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CNN on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/cnn/</link><description>Recent content in CNN on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/cnn/index.xml" rel="self" type="application/rss+xml"/><item><title>MobileNet</title><link>https://terms-en.ai-term-hub.com/zh/terms/mobilenet/</link><pubDate>Sat, 18 Jul 2026 11:26:24 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/mobilenet/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>与标准卷积相比，MobileNet 利用深度可分离卷积大幅降低了计算成本和模型体积。这种架构使得在资源受限设备上高效提取特征成为可能。&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>MobileNet 是一系列专为移动端和嵌入式视觉应用设计的轻量级深度神经网络。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>深度可分离卷积&lt;/li>
&lt;li>模型效率&lt;/li>
&lt;li>边缘计算&lt;/li>
&lt;li>迁移学习&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>智能手机上的实时目标检测&lt;/li>
&lt;li>物联网设备上的图像分类&lt;/li>
&lt;li>移动应用中的面部识别&lt;/li>
&lt;/ul>
&lt;h2 id="code-example">Code Example&lt;/h2>
&lt;div class="highlight">&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;">&lt;code class="language-python" data-lang="python">&lt;span style="display:flex;">&lt;span>&lt;span style="color:#f92672">from&lt;/span> tensorflow.keras.applications &lt;span style="color:#f92672">import&lt;/span> MobileNetV2
&lt;/span>&lt;/span>&lt;span style="display:flex;">&lt;span>model &lt;span style="color:#f92672">=&lt;/span> MobileNetV2(weights&lt;span style="color:#f92672">=&lt;/span>&lt;span style="color:#e6db74">&amp;#39;imagenet&amp;#39;&lt;/span>, input_shape&lt;span style="color:#f92672">=&lt;/span>(&lt;span style="color:#ae81ff">224&lt;/span>, &lt;span style="color:#ae81ff">224&lt;/span>, &lt;span style="color:#ae81ff">3&lt;/span>))
&lt;/span>&lt;/span>&lt;/code>&lt;/pre>&lt;/div>&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/shufflenet-%E6%B4%97%E7%89%8C%E7%BD%91%E7%BB%9C/">ShuffleNet (洗牌网络)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/squeezenet-%E6%8C%A4%E5%8E%8B%E7%BD%91%E7%BB%9C/">SqueezeNet (挤压网络)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/efficientnet-%E9%AB%98%E6%95%88%E7%BD%91%E7%BB%9C/">EfficientNet (高效网络)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/convolutional-neural-network-%E5%8D%B7%E7%A7%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/">Convolutional Neural Network (卷积神经网络)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>