Plans for the week of February 10-14

Dear all and welcome back to FYS5429/9429.  

Last week we started with scratching the surface of CNNs. This week we will go in more details into the math of CNNs and hopefully also start discussing implementations, either writing our own code or using Pytorch/Tensorflow. You will find examples of codes applied to the MNIST data set and other sets in the jupyter-notebook for this week. 
We will finalize this topic next week and then start with RNNs.
We recommend using the jupyter-notebook since there are several code examples there. The file is at 

https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week4/ipynb/week4.ipynb

The plan this week is to 

-Discuss the basics and mathematics of Convolutional Neural Networks with code examples.

- We will also (during the lecture and the exercise session) present a summary of various project topics people have defined. 

Recall also that we have a link  to project examples from 2024 at https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/Projects/ProjectExamples. 

Feel free to be inspired by these.

Reading recommendations this week are

For CNNs, see Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications, see https://www.deeplearningbook.org/

Reading suggestions for implementation of CNNs in PyTorch: See Rashcka et al.'s chapter 14 and GitHub site.

Best wishes to you all,

Edvin and Morten