DEEP LEARNING ADVANCED

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  • Designed to acquire more practical research and development skills for those who already have basic knowledge of Deep Learning
  • Course content:
    • advanced image processing
    • Large-scale computing; database and GPU
    • deep Q-networks (DQNs) and reinforcement learning
    • Project and team development
  • A project-oriented class
  • textbook: “deep learning” (machine learning professional series)
  • number of lectures: 12
  • Onsite courses;
    • Advanced Artificial Intelligence II 2016 (The University of Tokyo)