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Evidential Deep Learning to Quantify Classification Uncertainty (#85)

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Varuna Jayasiri
2021-08-21 10:25:32 +05:30
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docs/normalization/batch_norm/mnist.html
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@ -268,7 +268,10 @@ and set a new function to calculate the model.</p>
<p>Load configurations</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">75</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span><span class="s1">&#39;optimizer.optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;Adam&#39;</span><span class="p">})</span></pre></div>
<div class="highlight"><pre><span class="lineno">75</span> <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span>
<span class="lineno">76</span> <span class="s1">&#39;optimizer.optimizer&#39;</span><span class="p">:</span> <span class="s1">&#39;Adam&#39;</span><span class="p">,</span>
<span class="lineno">77</span> <span class="s1">&#39;optimizer.learning_rate&#39;</span><span class="p">:</span> <span class="mf">0.001</span><span class="p">,</span>
<span class="lineno">78</span> <span class="p">})</span></pre></div>
</div>
</div>
<div class='section' id='section-17'>
@ -279,8 +282,8 @@ and set a new function to calculate the model.</p>
<p>Start the experiment and run the training loop</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">77</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
<span class="lineno">78</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
<div class="highlight"><pre><span class="lineno">80</span> <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span>
<span class="lineno">81</span> <span class="n">conf</span><span class="o">.</span><span class="n">run</span><span class="p">()</span></pre></div>
</div>
</div>
<div class='section' id='section-18'>
@ -291,8 +294,8 @@ and set a new function to calculate the model.</p>
</div>
<div class='code'>
<div class="highlight"><pre><span class="lineno">82</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">83</span> <span class="n">main</span><span class="p">()</span></pre></div>
<div class="highlight"><pre><span class="lineno">85</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">86</span> <span class="n">main</span><span class="p">()</span></pre></div>
</div>
</div>
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