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[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]
magnet:?xt=urn:btih:9d445aaf0fff5ffe5c45caafd66e692781faf725&dn=[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]
磁力链接详情
Hash值:
9d445aaf0fff5ffe5c45caafd66e692781faf725
点击数:
220
文件大小:
3.31 GB
文件数量:
48
创建日期:
2019-9-16 23:20
最后访问:
2024-6-25 06:06
访问标签:
FreeTutorials
Us
UDEMY
Cutting-Edge
AI
Deep
Reinforcement
Learning
in
Python
FTU
文件列表详情
1. Welcome/1. Introduction.mp4 29.55 MB
1. Welcome/2. Outline.mp4 54.25 MB
1. Welcome/3. Where to get the code.mp4 24.45 MB
2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.mp4 18.88 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 71.63 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 108.66 MB
2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.mp4 32.07 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 78.57 MB
2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.mp4 49.72 MB
2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.mp4 31.17 MB
3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.mp4 61.3 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 192.28 MB
3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.mp4 32.72 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 96.21 MB
3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).mp4 32.59 MB
3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).mp4 14.22 MB
3. A2C (Advantage Actor-Critic)/5. A2C Demo.mp4 27.42 MB
3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.mp4 28.49 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 70.09 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 128.58 MB
3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.mp4 45.66 MB
4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.mp4 23.92 MB
4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.mp4 45.16 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 80.68 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 110.45 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 193.58 MB
4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).mp4 64.82 MB
4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.mp4 17.6 MB
5. ES (Evolution Strategies)/1. ES Section Introduction.mp4 44.86 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 108.21 MB
5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.mp4 53.1 MB
5. ES (Evolution Strategies)/4. ES for Optimizing a Function.mp4 46.51 MB
5. ES (Evolution Strategies)/5. ES for Supervised Learning.mp4 55.16 MB
5. ES (Evolution Strategies)/6. Flappy Bird.mp4 60.92 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 142.23 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 68.63 MB
5. ES (Evolution Strategies)/9. ES Section Summary.mp4 28.64 MB
6. Appendix FAQ/1. What is the Appendix.mp4 18.07 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 99.39 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 139.37 MB
6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 194.34 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 167.01 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.54 MB
6. Appendix FAQ/5. How to Succeed in this Course (Long Version).mp4 39.26 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 82.57 MB
6. Appendix FAQ/7. How to Code by Yourself (part 2).mp4 56.7 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.27 MB
6. Appendix FAQ/9. Python 2 vs Python 3.mp4 18.98 MB
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