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                        <h1 class="page-title"><a href="/show-203288061.html" title="torch 的RNN LSTM GRU">torch 的RNN LSTM GRU</a></h1>
            
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                <time class="post-date" datetime="2021-05-14">2021-05-14</time>
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<p>首先创造初始值</p>
<p><img alt="torch 的RNN LSTM GRU" src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTl3YVdGdWMyaGxiaTVqYjIwdmFXMWhaMlZ6THpJeE55OWtPR0V3TUdObE5XRmxPVEF5TnpVM1lUUmtabVF3TURkaU5tUXdNVEV6T1M1d2JtYz0=" title="torch 的RNN LSTM GRU"><img alt="torch 的RNN LSTM GRU" src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTl3YVdGdWMyaGxiaTVqYjIwdmFXMWhaMlZ6THpNek1TOWhOVGMxTVRoak1qTmxPRGxpTWpjNFlqWXlPV1l3T1daaVl6ZGlPVEE1TXk1d2JtYz0=" title="torch 的RNN LSTM GRU"></p>
<p><img alt="torch 的RNN LSTM GRU" src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTl3YVdGdWMyaGxiaTVqYjIwdmFXMWhaMlZ6THpNNU5TODVOMk14TWpCa04yUTBPV0prWVRreFl6UTFOVFprTVRjM09HWTBabU0zTXk1d2JtYz0=" title="torch 的RNN LSTM GRU"></p>
<p> </p>
<p>这里画出图帮助理解</p>
<p><img alt="torch 的RNN LSTM GRU" src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTl3YVdGdWMyaGxiaTVqYjIwdmFXMWhaMlZ6THpjek5DOHlZV1JpT0RneE1ETmlNamt6TkdSaVlXRXlZV1UzT0RkbU1qSXdZMkkwTmk1d2JtYz0=" title="torch 的RNN LSTM GRU"></p>
<p>其实对于每个单元来说 h就是输出, 这里可以看到最终两者的结果是相同但是id 不同, 在tensorflow中两者的id都是相同的</p>
<p><img alt="torch 的RNN LSTM GRU" src="/default/index/img?u=L2RlZmF1bHQvaW5kZXgvaW1nP3U9YUhSMGNITTZMeTl3YVdGdWMyaGxiaTVqYjIwdmFXMWhaMlZ6THpjNE1pOWtPVGt5TVRCak1XRTRZakV5WXpKbU5tVTJaV0kwTldRNVlqWTVPV0V4Tmk1d2JtYz0=" title="torch 的RNN LSTM GRU"></p>
<p> </p>
<p>真不明白torch创建的rnn单元为啥非得指明输入的x的维度, 这样的模型只能接收一定的x,而tensorflow中rnn单元对输入的维度是没有限制的, 只需指定内部的单元数量及可以了</p>
 
                    
            
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