Machine Learning for Physicists 2019 (QHD 1920 - Video & Folien)

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This is a course introducing modern techniques of machine learning, especially deep neural networks, to an audience of physicists. Neural networks can be trained to perform diverse challenging tasks, including image recognition and natural language processing, just by training them on many examples.…

Prof. Dr. Florian Marquardt

  • Jul 2, 2019 LATEST EPISODE
  • infrequent NEW EPISODES
  • 1h 26m AVG DURATION
  • 11 EPISODES


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Latest episodes from Machine Learning for Physicists 2019 (QHD 1920 - Video & Folien)

11 - Machine Learning for Physicists 2019

Play Episode Listen Later Jul 2, 2019 92:36


network quantum measurement
10 - Machine Learning for Physicists 2019

Play Episode Listen Later Jun 30, 2019 81:46


wissenschaft anwendung
9 - Machine Learning for Physicists 2019

Play Episode Listen Later Jun 18, 2019 87:58


transition training system transitions distribution units
8 - Machine Learning for Physicists 2019

Play Episode Listen Later Jun 16, 2019 85:32


observations trajectory
7 - Machine Learning for Physicists 2019

Play Episode Listen Later Jun 4, 2019 82:54


time times position proof gradient distribution binomial baseline fluctuations
6 - Machine Learning for Physicists 2019

Play Episode Listen Later Jun 2, 2019 81:48


sequence memory vectors
4 - Machine Learning for Physicists 2019

Play Episode Listen Later May 14, 2019 87:15


training network channels samples filters matrix layer output kernel vectors
3 - Machine Learning for Physicists 2019

Play Episode Listen Later May 12, 2019 90:13


training derivative python array neural weights entropy neuron
1 - Machine Learning for Physicists 2019

Play Episode Listen Later Apr 23, 2019 93:01


learning network python vector layer function neuron kernel widgets

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