From bdc21d79a47500d73fc76af1aeab7cff8731ad27 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Sun, 10 Dec 2023 14:38:31 -0500 Subject: [PATCH] Update README.md --- README.md | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index 95f24449..cee9a3a2 100644 --- a/README.md +++ b/README.md @@ -13,42 +13,42 @@ Meeting ID: 642 499 7467 Passcode: FYS4411 -Furthermore, all teaching material (it will be updated continuously) is available from this GitHub link. +Furthermore, all teaching material is available from this GitHub link. -## January 15-19: Presentation of couse, Review of Neural Networks and Deep Learning and discussion of possible projects +## January 15-19: Presentation of couse, review of neural networks and deep Learning and discussion of possible projects - Presentation of course and participants - Discussion of possible projects - Deep learning, neural networks, basic equations +- Recommende reading Goodfellow et al chapters 6 and 7 Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/ipynb/week1.ipynb -## January 22-26: Review of Neural Networks and Deep Learning -- Review of deep learning, basics of neural networks +## January 22-26: Mathematics of Neural Networks and Deep Learning +- Mathematics of deep learning, basics of neural networks - Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week2/ipynb/week2.ipynb +- Recommended reading Goodfellow et al chapters 6 and 7 -## February 6-10 -- Codes for feed forward neural networks (NNs), see https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/Programs/nn.ipynb and the slides for week 3 here. -- Discussion of first data sets to be studied +## January 29-February 2 +- Implementing neural networks with applications to differential equations +- Discussion of first project - Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week3/ipynb/week3.ipynb -## February 13-17 - -- Discussion of project paths -- Convolutional neural networks (CNNs) +## February 5-9 +- Convolutional neural networks (CNNs), basic mathematics - Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week4/ipynb/week4.ipynb -## February 20-24 -- Convolutional neural networks (CNNs) +## February 12-16 +- Convolutional neural networks (CNNs), buidling our own code - Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week5/ipynb/week5.ipynb -## February 27-March 10 -- Summary on CCNs -- Recurrent neural networks and links with the first part of the project +## February 19-23 +- Examples of applications of CNNs +- Recurrent neural networks -## March 13-17 +## February - Summary of RNNs and discussion of Long-Short-Term memory - Start discussions of Autoencoders (AEs)