Florian Marquardt
Physics and Machine Learning
(Theoretical physicist at the Max Planck Institute for the Science of Light and the University of Erlangen-Nürnberg, Germany)
Animation: Generative Adversarial Network
Animation: Normalizing Flow (Invertible Neural Network)
Machine Learning for Physicists (Lecture 10): Applications in Science
Machine Learning for Physicists (Lecture 9): Boltzmann machines
Machine Learning for Physicists (Lecture 8): Deep Reinforcement Learning
Lecture 7: Reinforcement Learning: Policy Gradient, Baseline, Simple Examples
Lecture 6: Recurrent Neural Networks (LSTM), Word Vectors, Introduction to Reinforcement Learning
Machine Learning for Physicists (Lecture 5): Principal Component Analysis, t-SNE, Adam etc., ...
Machine Learning for Physicists (Lecture 4): Convolutional Neural Networks, Autoencoders, PCA
Machine Learning for Physicists (Lecture 3): Training networks, Keras, Image recognition
Machine Learning for Physicists (Lecture 2)
Machine Learning for Physicists (Lecture 1)
Künstliche Intelligenz und Physik
Talk: Discovering feedback strategies for open quantum systems via deep reinforcement learning