https://terms-en.ai-term-hub.com/zh/tags/rnn/Recent content in RNN on 中文AI术语词典Hugozh-cnSat, 18 Jul 2026 11:44:45 +0000https://terms-en.ai-term-hub.com/zh/terms/long_short_term_memory/Sat, 18 Jul 2026 11:00:35 +0000https://terms-en.ai-term-hub.com/zh/terms/long_short_term_memory/<h2 id="definition">Definition</h2> <p>LSTM网络通过使用细胞状态和三个门控机制（输入门、遗忘门和输出门），解决了标准RNN中常见的梯度消失问题。这些门控机制调节信息的流动，使网络能够记住或忘记特定信息。</p> <h3 id="summary">Summary</h3> <p>一种专门设计的循环神经网络架构，旨在学习序列数据中的长期依赖关系。</p> <h2 id="key-concepts">Key Concepts</h2> <ul> <li>门控机制</li> <li>细胞状态</li> <li>序列数据</li> <li>梯度消失</li> </ul> <h2 id="use-cases">Use Cases</h2> <ul> <li>时间序列预测</li> <li>语音识别</li> <li>机器翻译</li> </ul> <h2 id="code-example">Code Example</h2> <div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-python" data-lang="python"><span style="display:flex;"><span><span style="color:#f92672">import</span> torch.nn <span style="color:#66d9ef">as</span> nn </span></span><span style="display:flex;"><span>lstm <span style="color:#f92672">=</span> nn<span style="color:#f92672">.</span>LSTM(input_size<span style="color:#f92672">=</span><span style="color:#ae81ff">10</span>, hidden_size<span style="color:#f92672">=</span><span style="color:#ae81ff">20</span>, num_layers<span style="color:#f92672">=</span><span style="color:#ae81ff">1</span>) </span></span></code></pre></div><h2 id="related-terms">Related Terms</h2> <ul> <li><a href="https://terms-en.ai-term-hub.com/en/terms/recurrent_neural_network-%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/">recurrent_neural_network (循环神经网络)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/gates-%E9%97%A8%E6%8E%A7/">gates (门控)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/sequence_modeling-%E5%BA%8F%E5%88%97%E5%BB%BA%E6%A8%A1/">sequence_modeling (序列建模)</a></li> <li><a href="https://terms-en.ai-term-hub.com/en/terms/nlp-%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86/">nlp (自然语言处理)</a></li> </ul>