Dear all, welcome to FYS5429/9429. Our first lecture is Thursday January 23 at 1215pm to 2pm. We have also set aside an eventual lab session from 2pm to 3pm on Thursdays. Our lecture room is F?434 at the Department of Physics.
The emphasis is on deep learning algorithms, starting with the mathematics of neural networks (NNs), moving on to convolutional NNs (CNNs) and recurrent NNs (RNNs), autoencoders, graph neural networks and other dimensionality reduction methods to finally discuss generative methods. These will include Boltzmann machines, variational autoencoders, generalized adversarial networks, diffusion methods and other. See the course GitHub link for more information, weekly plans and more https://github.com/CompPhysics/AdvancedMachineLearning/tree/main. There you will also find a tentative weekly plan with lecture notes and reading suggestions. You will also find a link to the textbooks (with codes and more) that we will follow.
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