[Deep Learning + Deep Reinforcement Learning] Technology Application

"Deep Learning Deep Learning Core Technology Practical Training Course"
April 16th-April 19th, 2021 The
first day of deep learning key points:
1. Deep learning overview
2. Deep neural network
3. Convolutional neural network CNN
4. Recurrent neural network Network RNN
5. Adversarial generation network GAN
6. Reinforcement learning DRL
7. Transfer learning TL
Day 2: Deep learning application method
1. Abstract modeling
2. Computer vision
3. Model optimization
Day 3: Deep learning and application scenarios
1 , Deep Learning + Medicine
Second, Deep Learning + Remote Sensing
Third, Deep Learning + Petroleum Exploration
Fourth, Deep Learning + Transportation
"Deep Reinforcement Learning Core Technology Practical Training Course"
April 23-April 26, 2021
Curriculum System
I. Strengthening Learning overview
2. Markov decision process
3. Monte Carlo method
4. Model-based reinforcement learning
5. Reinforcement learning based on sampling-estimation
6. Reinforcement learning based on approximation theory
7. From reinforcement learning to deep reinforcement learning
8. Deep reinforcement learning
9. Multi-task deep reinforcement learning
10. Hierarchical deep reinforcement learning
11. Multi-agent reinforcement learning
3. Registration contact information:
Contact: Jet Li (Teacher)
Mobile: 13311241619 Tel: 010-56129268 Official consultation QQ: 1503177939
Deep learning online course QQ group group number 1057802989 (Add group note: Teacher Jet Li’s invitation)
Intensive learning QQ exchange group number: 872395038 (Add group) Remarks: Teacher Jet Li invited)
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Original link: https://blog.csdn.net/lilianjie98/article/details/114751688