[FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]

磁链地址复制复制磁链成功

magnet:?xt=urn:btih:9D445AAF0FFF5FFE5C45CAAFD66E692781FAF725

如发现链接(DMCA)违规请在线举报

磁链详情

文件数目：102个文件
文件大小：3.31 GB
收录时间：2019-09-07
访问次数：14
相关内容：FreeTutorials UDEMY Cutting-Edge Deep Reinforcement Learning Python

文件meta

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
194.34 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4
193.58 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4
192.28 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167.01 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4
142.23 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
139.37 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4
128.58 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.54 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4
110.45 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4
108.66 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4
108.21 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4
99.39 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4
96.21 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4
82.57 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4
80.68 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4
78.57 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.27 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4
71.63 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4
70.09 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4
68.63 MB
4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).mp4
64.82 MB
3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.mp4
61.3 MB
5. ES (Evolution Strategies)/6. Flappy Bird.mp4
60.92 MB
6. Appendix FAQ/7. How to Code by Yourself (part 2).mp4
56.7 MB
5. ES (Evolution Strategies)/5. ES for Supervised Learning.mp4
55.16 MB
1. Welcome/2. Outline.mp4
54.25 MB
5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.mp4
53.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.mp4
49.72 MB
5. ES (Evolution Strategies)/4. ES for Optimizing a Function.mp4
46.51 MB
3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.mp4
45.66 MB
4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.mp4
45.16 MB
5. ES (Evolution Strategies)/1. ES Section Introduction.mp4
44.86 MB
6. Appendix FAQ/5. How to Succeed in this Course (Long Version).mp4
39.26 MB
3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.mp4
32.72 MB
3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).mp4
32.59 MB
2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.mp4
32.07 MB
2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.mp4
31.17 MB
1. Welcome/1. Introduction.mp4
29.55 MB
5. ES (Evolution Strategies)/9. ES Section Summary.mp4
28.64 MB
3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.mp4
28.49 MB
3. A2C (Advantage Actor-Critic)/5. A2C Demo.mp4
27.42 MB
1. Welcome/3. Where to get the code.mp4
24.45 MB
4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.mp4
23.92 MB
6. Appendix FAQ/9. Python 2 vs Python 3.mp4
18.98 MB
2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.mp4
18.88 MB
6. Appendix FAQ/1. What is the Appendix.mp4
18.07 MB
4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.mp4
17.6 MB
3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).mp4
14.22 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
27.68 KB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).vtt
22.8 KB