- 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)
DEEP LEARNING ADVANCED
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