week43 update
This commit is contained in:
@@ -309,7 +309,7 @@ MathJax.Hub.Config({
|
||||
<li> Friday: Principal Component Analysis and Dimensionality Reduction. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage" target="_self">Video of Lecture October 23</a></li>
|
||||
</ul>
|
||||
|
||||
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 doucmentation</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/week40/html/week40.html" target="_self">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_self">Autograd documentation</a>.
|
||||
|
||||
<p>
|
||||
<p>
|
||||
|
||||
@@ -166,7 +166,7 @@ MathJax.Hub.Config({
|
||||
</ul>
|
||||
<p>
|
||||
|
||||
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 doucmentation</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/week40/html/week40.html" target="_blank">week 40</a> and the <a href="https://github.com/HIPS/autograd" target="_blank">Autograd documentation</a>.
|
||||
</section>
|
||||
|
||||
|
||||
|
||||
@@ -245,7 +245,7 @@ MathJax.Hub.Config({
|
||||
<li> Friday: Principal Component Analysis and Dimensionality Reduction. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture October 23</a></li>
|
||||
</ul>
|
||||
|
||||
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 doucmentation</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/week40/html/week40.html" target="_blank">week 40</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>
|
||||
|
||||
@@ -250,7 +250,7 @@ MathJax.Hub.Config({
|
||||
<li> Friday: Principal Component Analysis and Dimensionality Reduction. <a href="https://www.uio.no/studier/emner/matnat/fys/FYS-STK4155/h20/forelesningsvideoer/LectureOctober23.mp4?vrtx=view-as-webpage" target="_blank">Video of Lecture October 23</a></li>
|
||||
</ul>
|
||||
|
||||
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 doucmentation</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/week40/html/week40.html" target="_blank">week 40</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>
|
||||
|
||||
Binary file not shown.
@@ -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",
|
||||
|
||||
@@ -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 =====
|
||||
|
||||
Reference in New Issue
Block a user