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Morten Hjorth-Jensen
2023-10-15 21:55:49 +02:00
parent cb5ab447ad
commit edf33b439c
171 changed files with 18722 additions and 1691 deletions
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@@ -313,6 +313,26 @@ const thebe_selector_output = ".output, .cell_output"
Week 40: Gradient descent methods (continued) and start Neural networks
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Exercises week 41
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Week 41 Neural networks and constructing a neural network code
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Exercises week 42
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<a class="reference internal" href="week42.html">
Week 42 Constructing a Neural Network code with introduction to Tensor flow
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@@ -325,6 +345,11 @@ const thebe_selector_output = ".output, .cell_output"
Project 1 on Machine Learning, deadline October 9 (midnight), 2023
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Project 2 on Machine Learning, deadline November 13 (Midnight)
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@@ -1790,8 +1815,8 @@ developed in the 1970s, namely EISPACK and LINPACK. We describe them shortly he
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.5829913 -0.55086461 0.15975618 -0.92729959 -1.95190644 0.60383004
-1.02308518 -1.48134747 -0.38259375 -1.42172457]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.27919014 -0.36550376 -0.86282204 1.31714002 -1.99484719 -0.63837812
1.45062284 -0.33079132 -0.58182803 -0.7207467 ]
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@@ -2016,26 +2041,26 @@ lowercase letters for vectors and uppercase letters for matrices)</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[0.56364308 0.01989549 0.24569547 0.52482437 0.47701204 0.48629506
0.20695722 0.77646856 0.42578415 0.29153991]
[0.6037092 0.87458904 0.84082439 0.87795661 0.53250091 0.08505008
0.17540272 0.59895188 0.7664107 0.06488406]
[0.706833 0.71285447 0.27650338 0.43496417 0.69009002 0.76771975
0.74818082 0.94697839 0.73293298 0.04555073]
[0.86015267 0.02183021 0.05852973 0.64299732 0.9129629 0.9142491
0.85615662 0.90223115 0.90325763 0.52518625]
[0.32708194 0.14023656 0.86341536 0.45610021 0.22130126 0.67640036
0.76084455 0.08703034 0.86619181 0.37917253]
[0.67189384 0.95117099 0.12695501 0.12155548 0.82410428 0.11352187
0.18433544 0.18824315 0.01344196 0.99215828]
[0.83657122 0.48423285 0.81071342 0.64147722 0.09076319 0.38787447
0.62919818 0.22574374 0.78556129 0.17733642]
[0.05966593 0.28096517 0.75719828 0.92717417 0.33860497 0.0401585
0.22328509 0.67035174 0.97488151 0.19463967]
[0.00844667 0.65704027 0.50721349 0.75631027 0.50697511 0.96183456
0.28490569 0.09308274 0.65628888 0.30478013]
[0.80802836 0.88305878 0.23392132 0.83793362 0.43490863 0.04448923
0.6289054 0.31705377 0.22001043 0.99268332]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[0.23516186 0.40009482 0.40666305 0.26318493 0.37335014 0.7865355
0.11587186 0.81840893 0.38046294 0.17138811]
[0.70506522 0.56475572 0.02507163 0.57935482 0.33537181 0.32382849
0.37266855 0.00348543 0.11400145 0.84991754]
[0.27152452 0.88901776 0.95166414 0.82292185 0.09524714 0.92630576
0.29374695 0.55867377 0.10959669 0.71647328]
[0.15913825 0.89604286 0.80447153 0.59412285 0.30990916 0.94642209
0.20494446 0.7215423 0.03049638 0.55649207]
[0.70899024 0.80389541 0.60883945 0.7803213 0.43466245 0.33078483
0.86852099 0.19772911 0.93022647 0.45253585]
[0.5810785 0.94823368 0.73379189 0.09408163 0.14549142 0.8353591
0.46754435 0.29732036 0.7698352 0.39200159]
[0.77265782 0.37376184 0.43647835 0.38782352 0.97449977 0.02276062
0.36802977 0.43941514 0.99006712 0.98316168]
[0.89897156 0.04956816 0.52067151 0.52180619 0.21275991 0.86420934
0.50653545 0.49057373 0.77067609 0.16043757]
[0.22616902 0.70408916 0.43902948 0.68992377 0.5608253 0.84132082
0.95661705 0.7082333 0.33600213 0.44116407]
[0.96459246 0.32141575 0.95679388 0.44595818 0.1875353 0.47700752
0.03321947 0.55865092 0.96543101 0.63227278]]
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@@ -2090,13 +2115,13 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.042044382097756156
4.034169230664804
0.4600624385659884
[[ 1.22368396 3.61504341 4.56171141]
[ 3.61504341 11.96611032 13.21879159]
[ 4.56171141 13.21879159 31.04223754]]
[38.67554897 0.10440776 5.45207509]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.022210866177877393
3.7588118737641243
0.5615739502773949
[[ 1.30150056 3.81953844 7.0377961 ]
[ 3.81953844 12.2361161 19.72546953]
[ 7.0377961 19.72546953 73.31248389]]
[79.90960269 0.08394792 6.85654993]
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@@ -2319,7 +2344,7 @@ Name: Aragorn, dtype: object
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<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_19344/1326197715.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_31718/1326197715.py:6: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.
data_pandas=data_pandas.append(pd.DataFrame(new_hobbit, index=[&#39;Pippin&#39;]))
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