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 <h1>Train a RBM model against MNIST dataset<a class="headerlink" href="#train-a-rbm-model-against-mnist-dataset" title="Permalink to this headline">¶</a></h1>
 <p>This example is to train an RBM model using the
 MNIST dataset. The RBM model and its hyper-parameters are set following
 <a class="reference external" href="http://www.cs.toronto.edu/%7Ehinton/science.pdf">Hinton&#8216;s paper</a></p>
 <div class="section" id="running-instructions">
 <h2>Running instructions<a class="headerlink" href="#running-instructions" title="Permalink to this headline">¶</a></h2>
 <ol>
 <li><p class="first">Download the pre-processed <a class="reference external" href="https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz">MNIST dataset</a></p>
 </li>
 <li><p class="first">Start the training</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>
 </pre></div>
 </div>
 </li>
 </ol>
 <p>By default the training code would run on CPU. To run it on a GPU card, please start
 the program with an additional argument</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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	<h1>Train a RBM model against MNIST dataset<a class="headerlink" href="#train-a-rbm-model-against-mnist-dataset" title="Permalink to this headline">¶</a></h1>
	<p>This example is to train an RBM model using the
	MNIST dataset. The RBM model and its hyper-parameters are set following
	<a class="reference external" href="http://www.cs.toronto.edu/%7Ehinton/science.pdf">Hinton‘s paper</a></p>
	<div class="section" id="running-instructions">
	<h2>Running instructions<a class="headerlink" href="#running-instructions" title="Permalink to this headline">¶</a></h2>
	<ol>
	<li><p class="first">Download the pre-processed <a class="reference external" href="https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz">MNIST dataset</a></p>
	</li>
	<li><p class="first">Start the training</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>
	</pre></div>
	</div>
	</li>
	</ol>
	<p>By default the training code would run on CPU. To run it on a GPU card, please start
	the program with an additional argument</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>
	</pre></div>
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