From 987b5673c95ac1247f9fc2e8b09c80f44c7fab84 Mon Sep 17 00:00:00 2001 From: mhjensen Date: Fri, 23 Oct 2020 06:17:46 +0200 Subject: [PATCH] week43 update --- doc/pub/week43/html/._week43-bs001.html | 2 +- doc/pub/week43/html/week43-reveal.html | 2 +- doc/pub/week43/html/week43-solarized.html | 2 +- doc/pub/week43/html/week43.html | 2 +- doc/pub/week43/ipynb/ipynb-week43-src.tar.gz | Bin 191 -> 190 bytes doc/pub/week43/ipynb/week43.ipynb | 2 +- doc/src/week43/week43.do.txt | 2 +- 7 files changed, 6 insertions(+), 6 deletions(-) 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({
  • Friday: Principal Component Analysis and Dimensionality Reduction. Video of Lecture October 23
    • -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-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({

  • Friday: Principal Component Analysis and Dimensionality Reduction. Video of Lecture October 23
    • -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.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({

  • Friday: Principal Component Analysis and Dimensionality Reduction. Video of Lecture October 23
    • -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/ipynb/ipynb-week43-src.tar.gz b/doc/pub/week43/ipynb/ipynb-week43-src.tar.gz index 77e59ea79473f86399a31282ad684ffb2026cb95..d23970d5d6c30877af90d5359cc53eb578c5047b 100644 GIT binary patch literal 190 zcmV;v073sBiwFQ-S(0A>1MSaC3c@fD2H>uHia9|^&7*5U7cK-5FObryjn$+kDcalH z2k1(1Q$)zO`59&yX7=mlYP(MS-AA(_gb2o9$V~7t$zrNUY04p`8DoqyP6d#ZQo$o2 z^PTk4IxlU1N_9f*P`{n)$I9}{q sh89@7w#p(%-GM9$<(1L$95>b+t-QD-{`E6K5Cp;39)0vn1po*D0A3Yai2wiq literal 191 zcmV;w06_mAiwFR6RFYo+1MSaC3c@fD2H>uHia9|^nn%}yUAPcLyg*7*8>>l8Qna_X z573q3rihSl^E1pa%KC5dW#T|jB1 t8(U!IwNqAt&^?H;( 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 =====