Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU]
Seeders : 9 Leechers : 8
| Torrent Hash : | 9D445AAF0FFF5FFE5C45CAAFD66E692781FAF725 |
| Torrent Added : | at June 2, 2023, 9:24 a.m. in Other |
| Torrent Size : | 3.3 GB |
Knox
Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU]
Fast And Direct Download Safely And Anonymously!
Fast And Direct Download Safely And Anonymously!
Note :
Please Update (Trackers Info) Before Start " Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU]" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU]
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url -
1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url -
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url -
3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url -
4. (FTUApps.com) Download Cracked Developers Applications For Free.url -
How you can help Team-FTU.txt -
1. Introduction.mp4 -
1. Introduction.vtt -
2. Outline.mp4 -
2. Outline.vtt -
3. Where to get the code.mp4 -
3. Where to get the code.vtt -
1. Review Section Introduction.mp4 -
1. Review Section Introduction.vtt -
2. The Explore-Exploit Dilemma.mp4 -
2. The Explore-Exploit Dilemma.vtt -
3. Markov Decision Processes (MDPs).mp4 -
3. Markov Decision Processes (MDPs).vtt -
4. Monte Carlo Methods.mp4 -
4. Monte Carlo Methods.vtt -
5. Temporal Difference Learning (TD).mp4 -
5. Temporal Difference Learning (TD).vtt -
6. OpenAI Gym Warmup.mp4 -
6. OpenAI Gym Warmup.vtt -
7. Review Section Summary.mp4 -
7. Review Section Summary.vtt -
1. A2C Section Introduction.mp4 -
1. A2C Section Introduction.vtt -
10. A2C.mp4 -
10. A2C.vtt -
11. A2C Section Summary.mp4 -
11. A2C Section Summary.vtt -
2. A2C Theory (part 1).mp4 -
2. A2C Theory (part 1).vtt -
3. A2C Theory (part 2).mp4 -
3. A2C Theory (part 2).vtt -
4. A2C Theory (part 3).mp4 -
4. A2C Theory (part 3).vtt -
5. A2C Demo.mp4 -
5. A2C Demo.vtt -
6. A2C Code - Rough Sketch.mp4 -
6. A2C Code - Rough Sketch.vtt -
7. Multiple Processes.mp4 -
7. Multiple Processes.vtt -
8. Environment Wrappers.mp4 -
8. Environment Wrappers.vtt -
9. Convolutional Neural Network.mp4 -
9. Convolutional Neural Network.vtt -
1. DDPG Section Introduction.mp4 -
1. DDPG Section Introduction.vtt -
2. Deep Q-Learning (DQN) Review.mp4 -
2. Deep Q-Learning (DQN) Review.vtt -
3. DDPG Theory.mp4 -
3. DDPG Theory.vtt -
4. MuJoCo.mp4 -
4. MuJoCo.vtt -
5. DDPG Code (part 1).mp4 -
5. DDPG Code (part 1).vtt -
6. DDPG Code (part 2).mp4 -
6. DDPG Code (part 2).vtt -
7. DDPG Section Summary.mp4 -
7. DDPG Section Summary.vtt -
1. ES Section Introduction.mp4 -
1. ES Section Introduction.vtt -
2. ES Theory.mp4 -
2. ES Theory.vtt -
3. Notes on Evolution Strategies.mp4 -
3. Notes on Evolution Strategies.vtt -
4. ES for Optimizing a Function.mp4 -
4. ES for Optimizing a Function.vtt -
5. ES for Supervised Learning.mp4 -
5. ES for Supervised Learning.vtt -
6. Flappy Bird.mp4 -
6. Flappy Bird.vtt -
7. ES for Flappy Bird in Code.mp4 -
7. ES for Flappy Bird in Code.vtt -
8. ES for MuJoCo in Code.mp4 -
8. ES for MuJoCo in Code.vtt -
9. ES Section Summary.mp4 -
9. ES Section Summary.vtt -
1. What is the Appendix.mp4 -
1. What is the Appendix.vtt -
10. What order should I take your courses in (part 1).mp4 -
10. What order should I take your courses in (part 1).vtt -
11. What order should I take your courses in (part 2).mp4 -
11. What order should I take your courses in (part 2).vtt -
2. Windows-Focused Environment Setup 2018.mp4 -
2. Windows-Focused Environment Setup 2018.vtt -
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 -
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt -
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 -
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt -
5. How to Succeed in this Course (Long Version).mp4 -
5. How to Succeed in this Course (Long Version).vtt -
6. How to Code by Yourself (part 1).mp4 -
6. How to Code by Yourself (part 1).vtt -
7. How to Code by Yourself (part 2).mp4 -
7. How to Code by Yourself (part 2).vtt -
8. Proof that using Jupyter Notebook is the same as not using it.mp4 -
8. Proof that using Jupyter Notebook is the same as not using it.vtt -
9. Python 2 vs Python 3.mp4 -
9. Python 2 vs Python 3.vtt -
Please login or create a FREE account to post comments
0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url -
377 bytes
1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url -
328 bytes
2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url -
286 bytes
3. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, Comics, Articles and more... etc.url -
163 bytes
4. (FTUApps.com) Download Cracked Developers Applications For Free.url -
239 bytes
How you can help Team-FTU.txt -
229 bytes
1. Introduction.mp4 -
29.5 MB
1. Introduction.vtt -
4.4 KB
2. Outline.mp4 -
54.3 MB
2. Outline.vtt -
9.3 KB
3. Where to get the code.mp4 -
24.5 MB
3. Where to get the code.vtt -
5.6 KB
1. Review Section Introduction.mp4 -
18.9 MB
1. Review Section Introduction.vtt -
4.6 KB
2. The Explore-Exploit Dilemma.mp4 -
71.6 MB
2. The Explore-Exploit Dilemma.vtt -
15.5 KB
3. Markov Decision Processes (MDPs).mp4 -
108.7 MB
3. Markov Decision Processes (MDPs).vtt -
22.3 KB
4. Monte Carlo Methods.mp4 -
32.1 MB
4. Monte Carlo Methods.vtt -
8.5 KB
5. Temporal Difference Learning (TD).mp4 -
78.6 MB
5. Temporal Difference Learning (TD).vtt -
18.6 KB
6. OpenAI Gym Warmup.mp4 -
49.7 MB
6. OpenAI Gym Warmup.vtt -
7.2 KB
7. Review Section Summary.mp4 -
31.2 MB
7. Review Section Summary.vtt -
8.3 KB
1. A2C Section Introduction.mp4 -
61.3 MB
1. A2C Section Introduction.vtt -
9.2 KB
10. A2C.mp4 -
192.3 MB
10. A2C.vtt -
19.7 KB
11. A2C Section Summary.mp4 -
32.7 MB
11. A2C Section Summary.vtt -
7.8 KB
2. A2C Theory (part 1).mp4 -
96.2 MB
2. A2C Theory (part 1).vtt -
22.8 KB
3. A2C Theory (part 2).mp4 -
32.6 MB
3. A2C Theory (part 2).vtt -
7.9 KB
4. A2C Theory (part 3).mp4 -
14.2 MB
4. A2C Theory (part 3).vtt -
3.4 KB
5. A2C Demo.mp4 -
27.4 MB
5. A2C Demo.vtt -
2.4 KB
6. A2C Code - Rough Sketch.mp4 -
28.5 MB
6. A2C Code - Rough Sketch.vtt -
8.1 KB
7. Multiple Processes.mp4 -
70.1 MB
7. Multiple Processes.vtt -
9.6 KB
8. Environment Wrappers.mp4 -
128.6 MB
8. Environment Wrappers.vtt -
13.3 KB
9. Convolutional Neural Network.mp4 -
45.7 MB
9. Convolutional Neural Network.vtt -
6.1 KB
1. DDPG Section Introduction.mp4 -
23.9 MB
1. DDPG Section Introduction.vtt -
3.9 KB
2. Deep Q-Learning (DQN) Review.mp4 -
45.2 MB
2. Deep Q-Learning (DQN) Review.vtt -
10.5 KB
3. DDPG Theory.mp4 -
80.7 MB
3. DDPG Theory.vtt -
20.0 KB
4. MuJoCo.mp4 -
110.5 MB
4. MuJoCo.vtt -
21.1 KB
5. DDPG Code (part 1).mp4 -
193.6 MB
5. DDPG Code (part 1).vtt -
20.0 KB
6. DDPG Code (part 2).mp4 -
64.8 MB
6. DDPG Code (part 2).vtt -
6.2 KB
7. DDPG Section Summary.mp4 -
17.6 MB
7. DDPG Section Summary.vtt -
4.6 KB
1. ES Section Introduction.mp4 -
44.9 MB
1. ES Section Introduction.vtt -
7.5 KB
2. ES Theory.mp4 -
108.2 MB
2. ES Theory.vtt -
22.4 KB
3. Notes on Evolution Strategies.mp4 -
53.1 MB
3. Notes on Evolution Strategies.vtt -
10.1 KB
4. ES for Optimizing a Function.mp4 -
46.5 MB
4. ES for Optimizing a Function.vtt -
6.8 KB
5. ES for Supervised Learning.mp4 -
55.2 MB
5. ES for Supervised Learning.vtt -
6.7 KB
6. Flappy Bird.mp4 -
60.9 MB
6. Flappy Bird.vtt -
13.8 KB
7. ES for Flappy Bird in Code.mp4 -
142.2 MB
7. ES for Flappy Bird in Code.vtt -
15.5 KB
8. ES for MuJoCo in Code.mp4 -
68.6 MB
8. ES for MuJoCo in Code.vtt -
8.1 KB
9. ES Section Summary.mp4 -
28.6 MB
9. ES Section Summary.vtt -
5.7 KB
1. What is the Appendix.mp4 -
18.1 MB
1. What is the Appendix.vtt -
3.3 KB
10. What order should I take your courses in (part 1).mp4 -
99.4 MB
10. What order should I take your courses in (part 1).vtt -
14.2 KB
11. What order should I take your courses in (part 2).mp4 -
139.4 MB
11. What order should I take your courses in (part 2).vtt -
20.2 KB
2. Windows-Focused Environment Setup 2018.mp4 -
194.3 MB
2. Windows-Focused Environment Setup 2018.vtt -
17.3 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 -
167.0 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt -
12.6 KB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 -
117.5 MB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt -
27.7 KB
5. How to Succeed in this Course (Long Version).mp4 -
39.3 MB
5. How to Succeed in this Course (Long Version).vtt -
12.8 KB
6. How to Code by Yourself (part 1).mp4 -
82.6 MB
6. How to Code by Yourself (part 1).vtt -
19.4 KB
7. How to Code by Yourself (part 2).mp4 -
56.7 MB
7. How to Code by Yourself (part 2).vtt -
11.4 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4 -
78.3 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt -
12.3 KB
9. Python 2 vs Python 3.mp4 -
19.0 MB
9. Python 2 vs Python 3.vtt -
5.4 KB
Related torrents
| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2023-06-02 | 3.3 GB | 9 | 8 | ||
| 2025-06-12 | 2.9 GB | 2 | 66 |
Note :
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU] Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Udemy | Cutting-Edge AI: Deep Reinforcement Learning in Python [FTU] via Magnet Download Link.Comments (0 Comments)
Please login or create a FREE account to post comments

