From e73220506b5168e8da12a6db21eb1026baaee85a Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Wed, 16 Jul 2025 09:06:52 +0200 Subject: [PATCH] Update README.md --- README.md | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index b487f2a9d..9cfce4f00 100644 --- a/README.md +++ b/README.md @@ -103,8 +103,6 @@ possible. * _Phone_: +47-48257387 * _Office_: Department of Physics, room FØ470 * _Office hours_: *Anytime*! Individual or group office hours can be performed either in person or via zoom. Feel free to send an email for planning. -* Sigurd k. Huse, s.k.huse@fys.uio.no -* Odin Johansen, odin.johansen@fys.uio.no * Fahimeh Najafi, fahimeh.najafi@fys.uio.no * Mia-Katrin Ose Kvalsund, m.k.o.kvalsund@fys.uio.no * Ida Torkjellsdatter Storehaug, i.t.storehaug@fys.uio.no @@ -145,9 +143,9 @@ The final number of points is based on the average of all projects (including ev | Activity | Fraction of total grade | |------|-----| -| First project, _due October 7_ | 1/3 | -| Second project, _due November 4_ | 1/3 | -| Third project, _due December 9_ | 1/3 | +| First project, _due October 6_ | 1/3 | +| Second project, _due November 3_ | 1/3 | +| Third project, _due December 8_ | 1/3 | | Extra Credit (not mandatory), weekly exercise assignments, 10 in total (due Fridays)| 10% | @@ -244,7 +242,7 @@ the weekly reading assignments refer to these two texts. - Ian Goodfellow, Yoshua Bengio, and Aaron Courville. The different chapters are available for free at https://www.deeplearningbook.org/. Chapters 2-14 are highly recommended. The lectures follow to a good extent this text. - Sebastian Raschka, Yuxi Lie, and Vahid Mirjalili, Machine Learning with PyTorch and Scikit-Learn at https://www.packtpub.com/product/machine-learning-with-pytorch-and-scikit-learn/9781801819312, see also https://sebastianraschka.com/blog/2022/ml-pytorch-book.html -The text by Raschka et al. is well-adapted to this text and contains many coding examples. +The text by Raschka et al. is well-adapted to this course and contains many coding examples. The weekly plans will include reading suggestions from these two textbooks. In addition, you may find the following textbooks interesting. _Additional textbooks_: