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<h1>在MNIST数据集上训练RBM模型<a class="headerlink" href="#mnistrbm" title="Permalink to this headline"></a></h1>
<p>这个例子使用MNIST数据集来训练一个RBM模型。RBM模型及其超参数参考<a class="reference external" href="http://www.cs.toronto.edu/%7Ehinton/science.pdf">Hinton的论文</a>中的设定。</p>
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<h2>操作说明<a class="headerlink" href="#id1" title="Permalink to this headline"></a></h2>
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<li><p class="first">下载预处理的<a class="reference external" href="https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz">MNIST数据集</a></p>
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<li><p class="first">开始训练,</p>
<div class="highlight-default"><div class="highlight"><pre><span></span> <span class="n">python</span> <span class="n">train</span><span class="o">.</span><span class="n">py</span> <span class="n">mnist</span><span class="o">.</span><span class="n">pkl</span><span class="o">.</span><span class="n">gz</span>
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<p>默认情况下,训练代码将在CPU上运行。 要在GPU卡上运行它,请使用附加参数启动程序,</p>
<div class="highlight-default"><div class="highlight"><pre><span></span> <span class="n">python</span> <span class="n">train</span><span class="o">.</span><span class="n">py</span> <span class="n">mnist</span><span class="o">.</span><span class="n">pkl</span><span class="o">.</span><span class="n">gz</span> <span class="o">--</span><span class="n">use_gpu</span>
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