update of exercises

This commit is contained in:
Morten Hjorth-Jensen
2023-10-24 06:56:01 +02:00
parent 343aecd6e0
commit 7711bd6a8c
9 changed files with 159 additions and 165 deletions
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"neural network.\n",
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@@ -1066,6 +1066,7 @@ to use it. Before we get into the details of the neural network, we
will first present some implementations of various schedulers, cost
functions and activation functions that can be used together with the
neural network.</p>
<p>The codes here were developed by Eric Reber and Gregor Kajda during spring 2023.</p>
<div class="section" id="learning-rate-methods">
<h3>Learning rate methods<a class="headerlink" href="#learning-rate-methods" title="Permalink to this headline"></a></h3>
<p>The code below shows object oriented implementations of the Constant,
@@ -5358,12 +5359,8 @@ case.</p>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Adam: Eta=0.001, Lambda=0
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392
[----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392
</pre></div>
</div>
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> [----------------------------------------] 0.1000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392
File diff suppressed because one or more lines are too long
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"to use it. Before we get into the details of the neural network, we\n",
"will first present some implementations of various schedulers, cost\n",
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"\r",
" [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 "
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# will first present some implementations of various schedulers, cost
# functions and activation functions that can be used together with the
# neural network.
#
# The codes here were developed by Eric Reber and Gregor Kajda during spring 2023.
# ### Learning rate methods
#
+50 -48
View File
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@@ -69,7 +69,7 @@
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@@ -107,7 +107,7 @@
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@@ -119,7 +119,7 @@
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@@ -134,7 +134,7 @@
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@@ -164,7 +164,7 @@
},
{
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@@ -177,7 +177,7 @@
{
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"id": "8308d3ec",
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@@ -255,7 +255,7 @@
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{
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@@ -265,7 +265,7 @@
},
{
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@@ -276,7 +276,7 @@
{
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@@ -344,7 +344,7 @@
},
{
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},
@@ -356,12 +356,14 @@
"to use it. Before we get into the details of the neural network, we\n",
"will first present some implementations of various schedulers, cost\n",
"functions and activation functions that can be used together with the\n",
"neural network."
"neural network.\n",
"\n",
"The codes here were developed by Eric Reber and Gregor Kajda during spring 2023."
]
},
{
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@@ -383,7 +385,7 @@
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@@ -524,7 +526,7 @@
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@@ -540,7 +542,7 @@
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@@ -553,7 +555,7 @@
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@@ -565,7 +567,7 @@
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@@ -587,7 +589,7 @@
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@@ -603,7 +605,7 @@
{
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@@ -641,7 +643,7 @@
},
{
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@@ -654,7 +656,7 @@
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@@ -675,7 +677,7 @@
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@@ -691,7 +693,7 @@
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@@ -749,7 +751,7 @@
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@@ -764,7 +766,7 @@
{
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@@ -785,7 +787,7 @@
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{
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@@ -809,7 +811,7 @@
{
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@@ -1281,7 +1283,7 @@
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{
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@@ -1293,7 +1295,7 @@
{
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"id": "97018c57",
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"metadata": {
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@@ -1337,7 +1339,7 @@
},
{
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"id": "1ac05bb6",
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@@ -1353,7 +1355,7 @@
{
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"id": "da5c2906",
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@@ -1368,7 +1370,7 @@
},
{
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@@ -1379,7 +1381,7 @@
{
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@@ -1394,7 +1396,7 @@
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@@ -1410,7 +1412,7 @@
{
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@@ -1424,7 +1426,7 @@
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@@ -1439,7 +1441,7 @@
{
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@@ -1465,7 +1467,7 @@
{
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@@ -1480,7 +1482,7 @@
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@@ -1491,7 +1493,7 @@
{
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@@ -1506,7 +1508,7 @@
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@@ -1517,7 +1519,7 @@
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@@ -1537,7 +1539,7 @@
{
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@@ -1552,7 +1554,7 @@
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@@ -1567,7 +1569,7 @@
{
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+2
View File
@@ -239,6 +239,8 @@ will first present some implementations of various schedulers, cost
functions and activation functions that can be used together with the
neural network.
The codes here were developed by Eric Reber and Gregor Kajda during spring 2023.
=== Learning rate methods ===
The code below shows object oriented implementations of the Constant,