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

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

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2019-09-07

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FreeTutorials Us UDEMY Cutting Edge AI Deep Reinforcement Learning in Python FTU

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0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url

377B

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229B

1. Welcome/1. Introduction.mp4

29.55MB

1. Welcome/1. Introduction.vtt

4.43KB

1. Welcome/2. Outline.mp4

54.25MB

1. Welcome/2. Outline.vtt

9.31KB

1. Welcome/3. Where to get the code.mp4

24.45MB

1. Welcome/3. Where to get the code.vtt

5.58KB

2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.mp4

18.88MB

2. Review of Fundamental Reinforcement Learning Concepts/1. Review Section Introduction.vtt

4.57KB

2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4

71.63MB

2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.vtt

15.53KB

2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4

108.66MB

2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).vtt

22.28KB

2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.mp4

32.07MB

2. Review of Fundamental Reinforcement Learning Concepts/4. Monte Carlo Methods.vtt

8.5KB

2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4

78.57MB

2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).vtt

18.56KB

2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.mp4

49.72MB

2. Review of Fundamental Reinforcement Learning Concepts/6. OpenAI Gym Warmup.vtt

7.24KB

2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.mp4

31.17MB

2. Review of Fundamental Reinforcement Learning Concepts/7. Review Section Summary.vtt

8.34KB

3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.mp4

61.3MB

3. A2C (Advantage Actor-Critic)/1. A2C Section Introduction.vtt

9.21KB

3. A2C (Advantage Actor-Critic)/10. A2C.mp4

192.28MB

3. A2C (Advantage Actor-Critic)/10. A2C.vtt

19.74KB

3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.mp4

32.72MB

3. A2C (Advantage Actor-Critic)/11. A2C Section Summary.vtt

7.8KB

3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4

96.21MB

3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).vtt

22.8KB

3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).mp4

32.59MB

3. A2C (Advantage Actor-Critic)/3. A2C Theory (part 2).vtt

7.95KB

3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).mp4

14.22MB

3. A2C (Advantage Actor-Critic)/4. A2C Theory (part 3).vtt

3.41KB

3. A2C (Advantage Actor-Critic)/5. A2C Demo.mp4

27.42MB

3. A2C (Advantage Actor-Critic)/5. A2C Demo.vtt

2.45KB

3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.mp4

28.49MB

3. A2C (Advantage Actor-Critic)/6. A2C Code - Rough Sketch.vtt

8.12KB

3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4

70.09MB

3. A2C (Advantage Actor-Critic)/7. Multiple Processes.vtt

9.58KB

3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4

128.58MB

3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.vtt

13.31KB

3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.mp4

45.66MB

3. A2C (Advantage Actor-Critic)/9. Convolutional Neural Network.vtt

6.07KB

4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.mp4

23.92MB

4. DDPG (Deep Deterministic Policy Gradient)/1. DDPG Section Introduction.vtt

3.89KB

4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.mp4

45.16MB

4. DDPG (Deep Deterministic Policy Gradient)/2. Deep Q-Learning (DQN) Review.vtt

10.48KB

4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4

80.68MB

4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.vtt

20KB

4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4

110.45MB

4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.vtt

21.08KB

4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4

193.58MB

4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).vtt

19.97KB

4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).mp4

64.82MB

4. DDPG (Deep Deterministic Policy Gradient)/6. DDPG Code (part 2).vtt

6.18KB

4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.mp4

17.6MB

4. DDPG (Deep Deterministic Policy Gradient)/7. DDPG Section Summary.vtt

4.65KB

5. ES (Evolution Strategies)/1. ES Section Introduction.mp4

44.86MB

5. ES (Evolution Strategies)/1. ES Section Introduction.vtt

7.54KB

5. ES (Evolution Strategies)/2. ES Theory.mp4

108.21MB

5. ES (Evolution Strategies)/2. ES Theory.vtt

22.38KB

5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.mp4

53.1MB

5. ES (Evolution Strategies)/3. Notes on Evolution Strategies.vtt

10.1KB

5. ES (Evolution Strategies)/4. ES for Optimizing a Function.mp4

46.51MB

5. ES (Evolution Strategies)/4. ES for Optimizing a Function.vtt

6.75KB

5. ES (Evolution Strategies)/5. ES for Supervised Learning.mp4

55.16MB

5. ES (Evolution Strategies)/5. ES for Supervised Learning.vtt

6.67KB

5. ES (Evolution Strategies)/6. Flappy Bird.mp4

60.92MB

5. ES (Evolution Strategies)/6. Flappy Bird.vtt

13.75KB

5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4

142.23MB

5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.vtt

15.53KB

5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4

68.63MB

5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.vtt

8.06KB

5. ES (Evolution Strategies)/9. ES Section Summary.mp4

28.64MB

5. ES (Evolution Strategies)/9. ES Section Summary.vtt

5.68KB

6. Appendix FAQ/1. What is the Appendix.mp4

18.07MB

6. Appendix FAQ/1. What is the Appendix.vtt

3.29KB

6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4

99.39MB

6. Appendix FAQ/10. What order should I take your courses in (part 1).vtt

14.17KB

6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4

139.37MB

6. Appendix FAQ/11. What order should I take your courses in (part 2).vtt

20.24KB

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4

194.34MB

6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.vtt

17.33KB

6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

167.01MB

6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.59KB

6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

117.54MB

6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

27.68KB

6. Appendix FAQ/5. How to Succeed in this Course (Long Version).mp4

39.26MB

6. Appendix FAQ/5. How to Succeed in this Course (Long Version).vtt

12.83KB

6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4

82.57MB

6. Appendix FAQ/6. How to Code by Yourself (part 1).vtt

19.38KB

6. Appendix FAQ/7. How to Code by Yourself (part 2).mp4

56.7MB

6. Appendix FAQ/7. How to Code by Yourself (part 2).vtt

11.44KB

6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4

78.27MB

6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.vtt

12.31KB

6. Appendix FAQ/9. Python 2 vs Python 3.mp4

18.98MB

6. Appendix FAQ/9. Python 2 vs Python 3.vtt

5.35KB

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