diff --git a/doc/pub/week43/html/._week43-bs001.html b/doc/pub/week43/html/._week43-bs001.html index 0b5f4461e..4714db0d4 100644 --- a/doc/pub/week43/html/._week43-bs001.html +++ b/doc/pub/week43/html/._week43-bs001.html @@ -309,7 +309,7 @@ MathJax.Hub.Config({
diff --git a/doc/pub/week43/html/week43-reveal.html b/doc/pub/week43/html/week43-reveal.html index e2f0bd997..6446cfe85 100644 --- a/doc/pub/week43/html/week43-reveal.html +++ b/doc/pub/week43/html/week43-reveal.html @@ -166,7 +166,7 @@ MathJax.Hub.Config({
-We will also study the usage of Autograd in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from week 40 and the Autograd doucmentation. +We will also study the usage of Autograd in computing gradients for deep learning. For the documentation of Autograd and examples see the lectures slides from week 40 and the Autograd documentation. diff --git a/doc/pub/week43/html/week43-solarized.html b/doc/pub/week43/html/week43-solarized.html index 09d1bb33a..e471b2059 100644 --- a/doc/pub/week43/html/week43-solarized.html +++ b/doc/pub/week43/html/week43-solarized.html @@ -245,7 +245,7 @@ MathJax.Hub.Config({
diff --git a/doc/pub/week43/html/week43.html b/doc/pub/week43/html/week43.html
index b9f2a17bf..178171102 100644
--- a/doc/pub/week43/html/week43.html
+++ b/doc/pub/week43/html/week43.html
@@ -250,7 +250,7 @@ MathJax.Hub.Config({
diff --git a/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz
index 77e59ea79..d23970d5d 100644
Binary files a/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz and b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz differ
diff --git a/doc/pub/week43/ipynb/week43.ipynb b/doc/pub/week43/ipynb/week43.ipynb
index 8d0777c16..ee29c9421 100644
--- a/doc/pub/week43/ipynb/week43.ipynb
+++ b/doc/pub/week43/ipynb/week43.ipynb
@@ -21,7 +21,7 @@
"\n",
"* Friday: Principal Component Analysis and Dimensionality Reduction. [Video of Lecture October 23](https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage)\n",
"\n",
- "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 doucmentation](https://github.com/HIPS/autograd).\n",
+ "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).\n",
"\n",
"## Recurrent Neural Networks\n",
"\n",
diff --git a/doc/src/week43/week43.do.txt b/doc/src/week43/week43.do.txt
index 85c0cb449..346881ab7 100644
--- a/doc/src/week43/week43.do.txt
+++ b/doc/src/week43/week43.do.txt
@@ -8,7 +8,7 @@ DATE: today
* Friday: Principal Component Analysis and Dimensionality Reduction. "Video of Lecture October 23":"https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage"
-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 doucmentation":"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 40":"https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" and the "Autograd documentation":"https://github.com/HIPS/autograd".
!split
===== Recurrent Neural Networks =====