[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning In Python

Torrent Details

[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python

NAME
[Tutorialsplanet.NET] Udemy - Artificial Intelligence Reinforcement Learning in Python.torrent
CATEGORY
Other
INFOHASH
08754a2fd2a4e88c8746ea5804e7c4a6f9545715
SIZE
1.5 GB in 99 files
ADDED
Uploaded on 08-02-2020 by our crawler pet called "Spidey".
SWARM
0 seeders & 5 peers
RATING
No votes yet.

Please login to vote for this torrent.


Description

Discussion

Comments 0

Post Your Comment

Files in this torrent

FILENAMESIZE
1. Welcome/1. Introduction.mp434.2 MB
1. Welcome/1. Introduction.vtt3.9 KB
1. Welcome/2. Where to get the Code.mp44.5 MB
1. Welcome/2. Where to get the Code.vtt4.9 KB
1. Welcome/3. Strategy for Passing the Course.mp49.5 MB
1. Welcome/3. Strategy for Passing the Course.vtt10.7 KB
10. Appendix/1. What is the Appendix.mp45.5 MB
10. Appendix/1. What is the Appendix.vtt3.4 KB
10. Appendix/10. What order should I take your courses in (part 1).mp429.3 MB
10. Appendix/10. What order should I take your courses in (part 1).vtt15.2 KB
10. Appendix/11. What order should I take your courses in (part 2).mp437.6 MB
10. Appendix/11. What order should I take your courses in (part 2).vtt22.3 KB
10. Appendix/12. Where to get discount coupons and FREE deep learning material.mp44 MB
10. Appendix/12. Where to get discount coupons and FREE deep learning material.vtt3.3 KB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.4 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt18.9 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.9 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt16.6 KB
10. Appendix/4. How to Code by Yourself (part 1).mp424.5 MB
10. Appendix/4. How to Code by Yourself (part 1).vtt27.3 KB
10. Appendix/5. How to Code by Yourself (part 2).mp414.8 MB
10. Appendix/5. How to Code by Yourself (part 2).vtt16.7 KB
10. Appendix/6. How to Succeed in this Course (Long Version).mp418.3 MB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt13.7 KB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt29.9 KB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt13.2 KB
10. Appendix/9. Python 2 vs Python 3.mp47.8 MB
10. Appendix/9. Python 2 vs Python 3.vtt5.9 KB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.mp454.6 MB
2. High Level Overview of Reinforcement Learning and Course Outline/1. What is Reinforcement Learning.vtt42.9 MB
2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.mp437.1 MB
2. High Level Overview of Reinforcement Learning and Course Outline/2. On Unusual or Unexpected Strategies of RL.vtt7.5 KB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.mp431 MB
2. High Level Overview of Reinforcement Learning and Course Outline/3. Course Outline.vtt6.1 KB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.mp442.3 MB
2. High Level Overview of Reinforcement Learning and Course Outline/4. Defining Some Terms.vtt8.7 KB
3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.mp46.5 MB
3. Return of the Multi-Armed Bandit/1. Problem Setup and The Explore-Exploit Dilemma.vtt7.1 KB
3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp410.6 MB
3. Return of the Multi-Armed Bandit/10. Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.vtt5.5 KB
3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.mp47.5 MB
3. Return of the Multi-Armed Bandit/11. Nonstationary Bandits.vtt7.1 KB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.mp451.2 MB
3. Return of the Multi-Armed Bandit/2. Applications of the Explore-Exploit Dilemma.vtt10.3 KB
3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.mp42.8 MB
3. Return of the Multi-Armed Bandit/3. Epsilon-Greedy.vtt2.9 KB
3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.mp42.2 MB
3. Return of the Multi-Armed Bandit/4. Updating a Sample Mean.vtt2 KB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.mp424.5 MB
3. Return of the Multi-Armed Bandit/5. Designing Your Bandit Program.vtt5.4 KB
3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.mp48 MB
3. Return of the Multi-Armed Bandit/6. Comparing Different Epsilons.vtt4.9 KB
3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.mp45.1 MB
3. Return of the Multi-Armed Bandit/7. Optimistic Initial Values.vtt3 KB
3. Return of the Multi-Armed Bandit/8. UCB1.mp48.2 MB
3. Return of the Multi-Armed Bandit/8. UCB1.vtt7.4 KB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.mp451.8 MB
3. Return of the Multi-Armed Bandit/9. Bayesian Thompson Sampling.vtt11 KB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.mp46.1 MB
4. Build an Intelligent Tic-Tac-Toe Agent/1. Naive Solution to Tic-Tac-Toe.vtt6.6 KB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.mp49.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/10. Tic Tac Toe Code Main Loop and Demo.vtt8.4 KB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.mp48.3 MB
4. Build an Intelligent Tic-Tac-Toe Agent/11. Tic Tac Toe Summary.vtt9.3 KB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.mp419.8 MB
4. Build an Intelligent Tic-Tac-Toe Agent/12. Tic Tac Toe Exercise.vtt4 KB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.mp412.7 MB
4. Build an Intelligent Tic-Tac-Toe Agent/2. Components of a Reinforcement Learning System.vtt13.4 KB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.mp44.2 MB
4. Build an Intelligent Tic-Tac-Toe Agent/3. Notes on Assigning Rewards.vtt4.5 KB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4103.7 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.vtt21.7 KB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.mp45 MB
4. Build an Intelligent Tic-Tac-Toe Agent/5. Tic Tac Toe Code Outline.vtt5.9 KB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.mp44.4 MB
4. Build an Intelligent Tic-Tac-Toe Agent/6. Tic Tac Toe Code Representing States.vtt4.5 KB
4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.mp49.8 MB
4. Build an Intelligent Tic-Tac-Toe Agent/7. Tic Tac Toe Code Enumerating States Recursively.vtt10.3 KB
4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.mp410 MB
4. Build an Intelligent Tic-Tac-Toe Agent/8. Tic Tac Toe Code The Environment.vtt10.9 KB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.mp49 MB
4. Build an Intelligent Tic-Tac-Toe Agent/9. Tic Tac Toe Code The Agent.vtt10 KB
5. Markov Decision Proccesses/1. Gridworld.mp43.4 MB
5. Markov Decision Proccesses/1. Gridworld.vtt3.7 KB
5. Markov Decision Proccesses/2. The Markov Property.mp47.2 MB
5. Markov Decision Proccesses/2. The Markov Property.vtt7.7 KB
5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.mp46.6 MB
5. Markov Decision Proccesses/3. Defining and Formalizing the MDP.vtt7.2 KB
5. Markov Decision Proccesses/4. Future Rewards.mp45.2 MB
5. Markov Decision Proccesses/4. Future Rewards.vtt5.5 KB
5. Markov Decision Proccesses/5. Value Function Introduction.mp419.7 MB
5. Markov Decision Proccesses/5. Value Function Introduction.vtt14.5 KB
5. Markov Decision Proccesses/6. Value Functions.mp48.3 MB
5. Markov Decision Proccesses/6. Value Functions.vtt11 KB
5. Markov Decision Proccesses/7. Bellman Examples.mp487.1 MB
5. Markov Decision Proccesses/7. Bellman Examples.vtt25.8 KB
5. Markov Decision Proccesses/8. Optimal Policy and Optimal Value Function.mp43.2 MB

Alternative Torrents for 'Tutorialsplanet.NET Udemy Artificial Intelligence Reinforcement Learning Python'.

There are no alternative torrents found.