added video

2024-08-26 13:07:33 +02:00
parent 85789d9180
commit bd224c516e
15 changed files with 1704 additions and 1688 deletions
@@ -375,6 +375,7 @@ MathJax.Hub.Config({

 <ol>
 <li> These lecture notes</li>
+ <li> <a href="https://youtu.be/VKakN-e4aUA" target="_self">Video of lecture</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -208,6 +208,7 @@ MathJax.Hub.Config({

 <ol>
 <p><li> These lecture notes</li>
+ <p><li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
 <p><li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <p><li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <p><li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -324,6 +324,7 @@ MathJax.Hub.Config({

 <ol>
 <li> These lecture notes</li>
+ <li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>
@@ -401,6 +401,7 @@ MathJax.Hub.Config({

 <ol>
 <li> These lecture notes</li>
+ <li> <a href="https://youtu.be/VKakN-e4aUA" target="_blank">Video of lecture</a></li>
 <li> Goodfellow, Bengio and Courville, Deep Learning, chapter 2 on linear algebra and sections 3.1-3.10 on elements of statistics (background)</li>
 <li> Raschka et al on preprocessing of data, relevant for exercise 3 this week, see chapter 4.</li>
 <li> For exercise 1 of week 35, the book by A. Aldo Faisal, Cheng Soon Ong, and Marc Peter Deisenroth on the Mathematics of Machine Learning, may be very relevant. In particular chapter 5 at URL"https://mml-book.github.io/" (section 5.5 on derivatives) is very useful for exercise 1 this coming week.</li>