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Morten Hjorth-Jensen
2024-10-28 06:15:26 +01:00
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doc/LectureNotes/_build/html/week34.html
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@@ -348,6 +348,11 @@ const thebe_selector_output = ".output, .cell_output"
Exercises week 43
</a>
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<li class="toctree-l1">
<a class="reference internal" href="week44.html">
Week 44, Convolutional Neural Networks (CNN)
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -1728,8 +1733,8 @@ developed in the 1970s, namely EISPACK and LINPACK. We describe them shortly he
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@@ -1954,26 +1959,26 @@ lowercase letters for vectors and uppercase letters for matrices)</p>
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0.13195623 0.10766611 0.92510128 0.09590878]
[0.49781325 0.85327004 0.44122101 0.54419365 0.27783579 0.75720786
0.59926703 0.31297469 0.46106755 0.95745534]
[0.92393165 0.11004595 0.47187607 0.67191313 0.66545999 0.05772472
0.82838817 0.45380039 0.95432881 0.5961356 ]
[0.31723049 0.28868604 0.85458026 0.47874964 0.98191653 0.82894855
0.78875722 0.15102593 0.82009906 0.65700779]
[0.65533829 0.16452848 0.99858871 0.98654578 0.29760523 0.49945378
0.01910339 0.58642686 0.67898825 0.25439747]
[0.36573968 0.77838912 0.28065817 0.93388517 0.91321225 0.73880347
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[0.43445446 0.39467981 0.97900469 0.85944866 0.73824262 0.88071254
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[0.33085218 0.56245497 0.21046538 0.11038556 0.85669407 0.10200001
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0.36366153 0.0110055 0.80283501 0.57112844]
[0.17037235 0.25878575 0.66933663 0.4648587 0.32102563 0.28258385
0.88952612 0.32433563 0.20378128 0.07772209]
[0.4991256 0.9062501 0.68396922 0.53225748 0.50193981 0.70953125
0.16772744 0.90167436 0.0375156 0.90055798]
[0.39834827 0.10692529 0.48555675 0.24736739 0.42480583 0.13714577
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[0.9494619 0.45669779 0.1510965 0.06679734 0.5955051 0.08050628
0.90783944 0.72596005 0.47331396 0.0422287 ]
[0.53851415 0.91315101 0.81556283 0.5664958 0.02538656 0.66160323
0.99622734 0.27745486 0.40313394 0.14359337]
[0.83853982 0.5523202 0.37501385 0.15553205 0.86789195 0.52184321
0.30855785 0.93413623 0.84687351 0.54874291]
[0.32402196 0.77986982 0.80692881 0.33091173 0.82391536 0.22779081
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[0.39499333 0.52319188 0.27585199 0.26939658 0.25115372 0.44987974
0.25033611 0.74689928 0.48346049 0.16742049]]
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@@ -2028,13 +2033,13 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
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[[ 0.81985155 2.4736645 2.12220773]
[ 2.4736645 8.54371074 6.81973052]
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[17.05928882 0.09257332 2.72460802]
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[14.78194038 0.0734671 2.25565019]
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@@ -2259,7 +2264,7 @@ Name: Aragorn, dtype: object
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<span class="ne">AttributeError</span><span class="g g-Whitespace"> </span>Traceback (most recent call last)
<span class="nn">/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_94272/1326197715.py</span> in <span class="ni">?</span><span class="nt">()</span>
<span class="nn">/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_20912/1326197715.py</span> in <span class="ni">?</span><span class="nt">()</span>
<span class="ne">----&gt; </span><span class="mi">6</span> <span class="n">new_hobbit</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;First Name&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;Peregrin&quot;</span><span class="p">],</span>
<span class="g g-Whitespace"> </span><span class="mi">7</span> <span class="s1">&#39;Last Name&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;Took&quot;</span><span class="p">],</span>
<span class="g g-Whitespace"> </span><span class="mi">8</span> <span class="s1">&#39;Place of birth&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;Shire&quot;</span><span class="p">],</span>