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UCL Centre for AI is partnering with DeepMind to deliver a Deep Learning Lecture Series.
Neural networks are the models responsible for the deep learning revolution since 2006, but their foundations go as far as to 1960s. In this lecture we will go through basics of how these models operate, learn and solve problems. We will also set various terminology/naming conventions to prepare attendees for further, more advanced talks. Finally, we will briefly touch upon more research oriented directions of neural network design and development.
Bio: Wojciech Czarnecki is a Research Scientist at Deepmind. He obtained his phd from the Jagiellonian University in Cracow, during which he worked on the intersection of machine learning, information theory and cheminformatics. Since joining DeepMind in 2016, Wojciech has been mainly working on deep reinforcement learning, with a focus on multi-agent systems, such as recent Capture the Flag project or AlphaStar, the first AI to reach the highest league of human players in a widespread professional esport without simplification of the game.
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