lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update week 42

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2022-10-15 04:28:11 +09:00
parent 35e40414bc
commit 5744e3607f
9 changed files with 274 additions and 274 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/pub/week42/html/._week42-bs000.html
+1 -1
View File
@@ -417,7 +417,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Aug 23, 2022</h4>
<h4>Oct 15, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week42/html/._week42-bs002.html
+1 -1
View File
@@ -402,7 +402,7 @@ MathJax.Hub.Config({
<h2 id="using-automatic-differentiation" class="anchor">Using Automatic differentiation </h2>
<p>In our discussions of ordinary differential equations
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_self">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_self">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_self">Autograd documentation</a>.
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_self">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_self">week 39</a> and the <a href="https://github.com/HIPS/autograd" target="_self">Autograd documentation</a>.
</p>
<p>
doc/pub/week42/html/week42-bs.html
+1 -1
View File
@@ -417,7 +417,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Aug 23, 2022</h4>
<h4>Oct 15, 2022</h4>
</center> <!-- date -->
<br>
doc/pub/week42/html/week42-reveal.html
+2 -2
View File
@@ -184,7 +184,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Aug 23, 2022</h4>
<h4>Oct 15, 2022</h4>
</center> <!-- date -->
<br>
@@ -240,7 +240,7 @@ MathJax.Hub.Config({
<h2 id="using-automatic-differentiation">Using Automatic differentiation </h2>
<p>In our discussions of ordinary differential equations
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_blank">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_blank">week 39</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
</p>
</section>
doc/pub/week42/html/week42-solarized.html
+2 -2
View File
@@ -326,7 +326,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Aug 23, 2022</h4>
<h4>Oct 15, 2022</h4>
</center> <!-- date -->
<br>
@@ -375,7 +375,7 @@ MathJax.Hub.Config({
<h2 id="using-automatic-differentiation">Using Automatic differentiation </h2>
<p>In our discussions of ordinary differential equations
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_blank">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_blank">week 39</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
</p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
doc/pub/week42/html/week42.html
+2 -2
View File
@@ -403,7 +403,7 @@ MathJax.Hub.Config({
</center>
<br>
<center>
<h4>Aug 23, 2022</h4>
<h4>Oct 15, 2022</h4>
</center> <!-- date -->
<br>
@@ -452,7 +452,7 @@ MathJax.Hub.Config({
<h2 id="using-automatic-differentiation">Using Automatic differentiation </h2>
<p>In our discussions of ordinary differential equations
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_blank">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
we will also study the usage of <a href="https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" target="_blank">Autograd</a> in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_blank">week 39</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
</p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
doc/pub/week42/ipynb/ipynb-week42-src.tar.gz
BIN
View File
Binary file not shown.
doc/pub/week42/ipynb/week42.ipynb
+264 -264
View File
File diff suppressed because it is too large Load Diff
doc/src/week42/week42.do.txt
+1 -1
View File
@@ -35,7 +35,7 @@ DATE: today
===== Using Automatic differentiation =====
In our discussions of ordinary differential equations
we will also study the usage of "Autograd":"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from "week 40":"https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" and the "Autograd documentation":"https://github.com/HIPS/autograd".
we will also study the usage of "Autograd":"https://www.youtube.com/watch?v=fRf4l5qaX1M&ab_channel=AlexSmola" in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from "week 39":"https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" and the "Autograd documentation":"https://github.com/HIPS/autograd".
!split