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Morten Hjorth-Jensen
2024-11-25 08:12:27 +01:00
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commit c8f2aa3dc1
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doc/LectureNotes/_build/html/week45.html
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@@ -257,6 +257,9 @@
<li class="toctree-l1"><a class="reference internal" href="week47.html">Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods</a></li>
<li class="toctree-l1"><a class="reference internal" href="exercisesweek47.html">Exercise week 47</a></li>
<li class="toctree-l1"><a class="reference internal" href="week48.html">Week 48: Gradient boosting and summary of course</a></li>
<li class="toctree-l1"><a class="reference internal" href="exercisesweek48.html">Exercises week 48</a></li>
</ul>
<p aria-level="2" class="caption" role="heading"><span class="caption-text">Projects</span></p>
<ul class="nav bd-sidenav">
@@ -941,40 +944,36 @@ labels = (n_inputs) = (1797,)
super().__init__(activity_regularizer=activity_regularizer, **kwargs)
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Bold"> 1/12</span> <span class=" -Color -Color-Green">━</span><span class=" -Color -Color-White">━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">2s</span> 214ms/step - accuracy: 0.1250 - loss: 3.1816
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Bold"> 1/12</span> <span class=" -Color -Color-Green">━</span><span class=" -Color -Color-White">━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">2s</span> 203ms/step - accuracy: 0.2812 - loss: 2.7253
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<span class=" -Color -Color-Bold"> 8/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━</span><span class=" -Color -Color-White">━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 7ms/step - accuracy: 0.1078 - loss: 3.0683
<span class=" -Color -Color-Bold"> 9/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━</span><span class=" -Color -Color-White">━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 7ms/step - accuracy: 0.1957 - loss: 2.8906
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<span class=" -Color -Color-Bold">12/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 10ms/step - accuracy: 0.1005 - loss: 3.0830
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<span class=" -Color -Color-Bold">12/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 10ms/step - accuracy: 0.0998 - loss: 3.0851
<span class=" -Color -Color-Bold">12/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 9ms/step - accuracy: 0.1826 - loss: 2.9261
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Learning rate = 1e-05
Lambda = 1e-05
Test accuracy: 0.092
Test accuracy: 0.150
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Bold"> 1/12</span> <span class=" -Color -Color-Green">━</span><span class=" -Color -Color-White">━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">1s</span> 128ms/step - accuracy: 0.0312 - loss: 3.1505
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><span class=" -Color -Color-Bold"> 1/12</span> <span class=" -Color -Color-Green">━</span><span class=" -Color -Color-White">━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">1s</span> 126ms/step - accuracy: 0.0938 - loss: 2.8780
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<span class=" -Color -Color-Bold"> 8/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━</span><span class=" -Color -Color-White">━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 7ms/step - accuracy: 0.0554 - loss: 3.1156
<span class=" -Color -Color-Bold"> 9/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━</span><span class=" -Color -Color-White">━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 7ms/step - accuracy: 0.1082 - loss: 2.8294
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<span class=" -Color -Color-Bold">12/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 9ms/step - accuracy: 0.0560 - loss: 3.1184
<span class=" -Color -Color-Bold">12/12</span> <span class=" -Color -Color-Green">━━━━━━━━━━━━━━━━━━━━</span> <span class=" -Color -Color-Bold">0s</span> 9ms/step - accuracy: 0.1134 - loss: 2.8359
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Learning rate = 1e-05
Lambda = 0.0001
Test accuracy: 0.058
Test accuracy: 0.125
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