====== Module 11: Neural networks (24. and 27.4.2023) ======

**Lecture notes:** 

We have lectures Monday 10.15-12.00 and Thursday 8.15-9.00. The last lesson (9.15-10.00) is a recorded lecture by Daesoo.

[[https://github.com/stefaniemuff/statlearning/blob/master/11NNet/11Nnet.pdf | 11Nnet.pdf]]\\
[[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/11NNet/11Nnet.html | 11Nnet.html]]\\
[[https://github.com/stefaniemuff/statlearning/blob/master/11NNet/11Nnet.Rmd | 11Nnet.Rmd]]\\

[[https://www.youtube.com/watch?v=vsAvzYpXQ34&feature=youtu.be | Recording by Daesoo (Thursday 9-10)]] \\
[[https://studntnu-my.sharepoint.com/:p:/g/personal/daesool_ntnu_no/EYAv_Ux-E1JApQKyYBOCZtoBPl3aukS2O_rWdHIQdKM-Ig?rtime=hRZzVkxD20g | Slides by Daesoo (Thursday 9-10)]]


**Additional material:**

Here you find the Goodfellow, Bengio and Courville (2016) book:
[[https://www.deeplearningbook.org/ | https://www.deeplearningbook.org/]]\\

The Cholet and Allaire (2018) book is not available fully online, you could order it here (not compulsory!):
[[https://www.manning.com/books/deep-learning-with-r | https://www.manning.com/books/deep-learning-with-r]]



**Videos on neural networks and back propagation (recommended!)**

[[https://www.youtube.com/watch?v=aircAruvnKk | Video on back propagation / deep learning chapter 1]]\\
[[https://www.youtube.com/watch?v=IHZwWFHWa-w | Video on back propagation / deep learning chapter 2]]\\
[[https://www.youtube.com/watch?v=Ilg3gGewQ5U | Video on back propagation / deep learning chapter 3]]\\
[[https://www.youtube.com/watch?v=tIeHLnjs5U8 | Video on back propagation / deep learning chapter 4]]



===== Recommended exercises: =====

   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11.pdf | RecommendedExercise11.pdf]]
   * [[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11.html | RecommendedExercise11.html]]
   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11.Rmd | RecommendedExercise11.Rmd]]

   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11-sol.pdf | RecommendedExercise11-sol.pdf]]
   * [[https://htmlpreview.github.io/?https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11-sol.html | RecommendedExercise11-sol.html]]
   * [[https://github.com/stefaniemuff/statlearning/blob/master/Exercise11/RecEx11-sol.Rmd | RecommendedExercise11-sol.Rmd]]


<color #ed1c24>**Important information**</color>: The supervision for recommended exercise 11 is online via Whereby. Daesoo is available via the following link:

https://whereby.com/daesoo-lee

You can click on the link, allow camera/microphone access, and then you have to "knock". Daesoo will let you in as soon as he is free, but be aware that it might take some time.