Course for free com udemy cutting edge ai deep reinforcement learning in python

Course for free com udemy cutting edge ai deep reinforcement learning in python

Name	course-for-free.-com-udemy-cutting-edge-ai-deep-reinforcement-learning-in-python	DOWNLOAD Copy Link
Total Size	3.7 GB
Total Files	206
Hash	E7EF77950D73B37326379E4B58FDAB71D47661A4

/1. Welcome/
1. Introduction.mp4	37.5 MB
1. Introduction.vtt	4.5 KB
2. Outline.mp4	53.7 MB
2. Outline.vtt	9.5 KB
3. Where to get the code.mp4	25.6 MB
3. Where to get the code.vtt	5.7 KB
/2. Review of Fundamental Reinforcement Learning Concepts/
1. Review Section Introduction.mp4	19.8 MB
1. Review Section Introduction.vtt	4.7 KB
2. The Explore-Exploit Dilemma.mp4	75.1 MB
2. The Explore-Exploit Dilemma.vtt	15.9 KB
3. Markov Decision Processes (MDPs).mp4	113.9 MB
3. Markov Decision Processes (MDPs).vtt	22.8 KB
4. Monte Carlo Methods.mp4	33.6 MB
4. Monte Carlo Methods.vtt	8.7 KB
5. Temporal Difference Learning (TD).mp4	82.4 MB
5. Temporal Difference Learning (TD).vtt	19.0 KB
6. OpenAI Gym Warmup.mp4	52.1 MB
6. OpenAI Gym Warmup.vtt	7.4 KB
7. Review Section Summary.mp4	32.7 MB
7. Review Section Summary.vtt	8.5 KB
/3. A2C (Advantage Actor-Critic)/
1. A2C Section Introduction.mp4	64.3 MB
1. A2C Section Introduction.vtt	9.4 KB
10. A2C.mp4	201.6 MB
10. A2C.vtt	20.2 KB
11. A2C Section Summary.mp4	34.3 MB
11. A2C Section Summary.vtt	8.0 KB
2. A2C Theory (part 1).mp4	100.9 MB
2. A2C Theory (part 1).vtt	23.3 KB
3. A2C Theory (part 2).mp4	34.2 MB
3. A2C Theory (part 2).vtt	8.1 KB
4. A2C Theory (part 3).mp4	14.9 MB
4. A2C Theory (part 3).vtt	3.5 KB
5. A2C Demo.mp4	28.8 MB
5. A2C Demo.vtt	2.5 KB
6. A2C Code - Rough Sketch.mp4	29.9 MB
6. A2C Code - Rough Sketch.vtt	8.3 KB
7. Multiple Processes.mp4	73.5 MB
7. Multiple Processes.vtt	9.8 KB
8. Environment Wrappers.mp4	134.8 MB
8. Environment Wrappers.vtt	13.6 KB
9. Convolutional Neural Network.mp4	47.9 MB
9. Convolutional Neural Network.vtt	6.2 KB
/4. DDPG (Deep Deterministic Policy Gradient)/
1. DDPG Section Introduction.mp4	25.1 MB
1. DDPG Section Introduction.vtt	4.0 KB
2. Deep Q-Learning (DQN) Review.mp4	47.4 MB
2. Deep Q-Learning (DQN) Review.vtt	10.7 KB
3. DDPG Theory.mp4	84.6 MB
3. DDPG Theory.vtt	20.5 KB
4. MuJoCo.mp4	115.8 MB
4. MuJoCo.vtt	21.6 KB
5. DDPG Code (part 1).mp4	203.0 MB
5. DDPG Code (part 1).vtt	20.5 KB
6. DDPG Code (part 2).mp4	68.0 MB
6. DDPG Code (part 2).vtt	6.3 KB
7. DDPG Section Summary.mp4	18.5 MB
7. DDPG Section Summary.vtt	4.8 KB
/5. ES (Evolution Strategies)/
1. ES Section Introduction.mp4	47.0 MB
1. ES Section Introduction.vtt	7.7 KB
2. ES Theory.mp4	113.5 MB
2. ES Theory.vtt	22.9 KB
3. Notes on Evolution Strategies.mp4	55.7 MB
3. Notes on Evolution Strategies.vtt	10.3 KB
4. ES for Optimizing a Function.mp4	48.8 MB
4. ES for Optimizing a Function.vtt	6.9 KB
5. ES for Supervised Learning.mp4	57.8 MB
5. ES for Supervised Learning.vtt	6.8 KB
6. Flappy Bird.mp4	63.9 MB
6. Flappy Bird.vtt	14.1 KB
7. ES for Flappy Bird in Code.mp4	149.1 MB
7. ES for Flappy Bird in Code.vtt	15.9 KB
8. ES for MuJoCo in Code.mp4	72.0 MB
8. ES for MuJoCo in Code.vtt	8.3 KB
9. ES Section Summary.mp4	30.0 MB
9. ES Section Summary.vtt	5.8 KB
/6. Appendix FAQ/
1. What is the Appendix.mp4	18.9 MB
1. What is the Appendix.vtt	3.4 KB
10. What order should I take your courses in (part 1).mp4	92.7 MB
10. What order should I take your courses in (part 1).vtt	14.5 KB
11. What order should I take your courses in (part 2).mp4	129.0 MB
11. What order should I take your courses in (part 2).vtt	20.7 KB
2. Windows-Focused Environment Setup 2018.mp4	203.8 MB
2. Windows-Focused Environment Setup 2018.vtt	17.8 KB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	175.1 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.9 KB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	123.2 MB
4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	28.3 KB
5. How to Succeed in this Course (Long Version).mp4	41.2 MB
5. How to Succeed in this Course (Long Version).vtt	13.1 KB
6. How to Code by Yourself (part 1).mp4	86.6 MB
6. How to Code by Yourself (part 1).vtt	19.8 KB
7. How to Code by Yourself (part 2).mp4	59.5 MB
7. How to Code by Yourself (part 2).vtt	11.7 KB
8. Proof that using Jupyter Notebook is the same as not using it.mp4	82.1 MB
8. Proof that using Jupyter Notebook is the same as not using it.vtt	12.6 KB
9. Python 2 vs Python 3.mp4	19.9 MB
9. Python 2 vs Python 3.vtt	5.5 KB
/
CourseForFree.Com-Udemy-Cutting-Edge-AI-Deep-Reinforcement-Learning-in-Python.torrent	77.5 KB
CourseForFree.Com-Udemy-Cutting-Edge-AI-Deep-Reinforcement-Learning-in-Python_torrent.txt	13.5 KB
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
__ia_thumb.jpg	4.1 KB
course-for-free.-com-udemy-cutting-edge-ai-deep-reinforcement-learning-in-python_meta.sqlite	11.3 KB
course-for-free.-com-udemy-cutting-edge-ai-deep-reinforcement-learning-in-python_meta.xml	0.8 KB
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