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@@ -56,7 +56,7 @@ const thebe_selector_output = ".output, .cell_output"
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<link rel="index" title="Index" href="genindex.html" />
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<link rel="search" title="Search" href="search.html" />
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<link rel="next" title="Project 2 on Machine Learning, deadline November 13 (Midnight)" href="project2.html" />
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@@ -343,6 +343,16 @@ const thebe_selector_output = ".output, .cell_output"
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Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
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</a>
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<a class="reference internal" href="week44.html">
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Week 44, Convolutional Neural Networks (CNN)
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<a class="reference internal" href="week45.html">
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Week 45, Recurrent Neural Networks
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@@ -710,7 +720,7 @@ which polynomial fits the data best.</p>
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</div>
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</div>
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<div class="cell_output docutils container">
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_11057/39730396.py:11: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_8779/39730396.py:11: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
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ax = fig.gca(projection='3d')
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</pre></div>
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</div>
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@@ -1069,11 +1079,11 @@ of code developers and contributors keeps increasing.</p>
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<p class="prev-next-title">Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations</p>
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<p class="prev-next-title">Week 45, Recurrent Neural Networks</p>
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