Plans for week 44, October 28-November 1

Dear all, welcome back to new week with FYS-STK3155/4155.

We hope you've had a great weekend.

Here are our plans for this week:

This week we start with convolutional Neural networks (we will continue with this topic next week as well).  Next week we will also discuss recurrent neural networks.

1. Suggested Readings and Videos:

   • The lecture notes at https://github.com/CompPhysics/MachineLearning/blob/master/doc/pub/week44/ipynb/week44.ipynb

   • For a more in depth discussion on neural networks we recommend Goodfellow et al chapter 9. See also chapter 11 and 12 on practicalities and applications

   • Reading suggestions for implementation of CNNs see Rashcka et al.'s chapter 14 at https://github.com/rasbt/machine-learning-book/tree/main/ch14.

   • Video on Deep Learning at https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

   • Video on Convolutional Neural Networks from MIT at https://www.youtube.com/watch?v=iaSUYvmCekI&ab_channel=AlexanderAmini

   • Video on CNNs from Stanford at https://www.youtube.com/watch?v=bNb2fEVKeEo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=6&ab_channel=StanfordUniversitySchoolofEngineering

Lab sessions on Tuesday and Wednesday

• Our main focus is project 2. There is no special session at the beginning of the lab session.

• If you did not get time to finish the exercises from week 43, you can also keep working on them and hand in this coming Friday, November 1.

Best wishes to you all.

Fahimeh, Ida, Karl Henrik, Mia, Morten, Odin, and Sigurd

p.s. we are planning on sending the feedback for project 1 by either Monday October 28 or Tuesday October 29. This will be uploaded to Canvas. The final score will most likely come later this week. Feel free to send us comments in case we have missed something in our feedback.