[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python torrent, magnet, bt

Latest Search: 1.SYKH-023 2.SSNI+057 3.dvaj404 4.MasterChef.Australia.S15E41.480p.x264-mSD[eztv.re].mkv 5.2877469

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

magnet:?xt=urn:btih:23814B5E3B355CE8DA598B08B02DC855CEEB3160&dn=%5BFreeCourseSite.com%5D%20Udemy%20-%20Artificial%20Intelligence%20Reinforcement%20Learning%20in%20Python

QR Code Copy to Clipboard Open with BT Client

Torrent Hash:

23814B5E3B355CE8DA598B08B02DC855CEEB3160

Number of Files:

Content Size:

592.53MB

Convert On:

2018-02-23

Keywords:

FreeCourseSite com Udemy Artificial Intelligence Reinforcement Learning in Python

Magnet Link:

magnet:?xt=urn:btih:23814B5E3B355CE8DA598B08B02DC855CEEB3160&dn=%5BFreeCourseSite.com%5D%20Udemy%20-%20Artificial%20Intelligence%20Reinforcement%20Learning%20in%20Python

Link:

//btsow.motorcycles/magnet/detail/hash/23814B5E3B355CE8DA598B08B02DC855CEEB3160

Download

Play Now

File Name

Size

01 Introduction and Outline/001 Introduction and outline.mp4

10.1MB

01 Introduction and Outline/002 What is Reinforcement Learning.mp4

21.94MB

01 Introduction and Outline/003 Where to get the Code.mp4

4.45MB

01 Introduction and Outline/004 Strategy for Passing the Course.mp4

9.47MB

02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4

6.47MB

02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4

2.78MB

02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4

2.17MB

02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4

8.01MB

02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4

5.12MB

02 Return of the Multi-Armed Bandit/010 UCB1.mp4

8.23MB

02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4

15.23MB

02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4

10.57MB

02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4

7.48MB

03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4

6.11MB

03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4

12.71MB

03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4

4.22MB

03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4

26.13MB

03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4

5.03MB

03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4

4.42MB

03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4

9.79MB

03 Build an Intelligent Tic-Tac-Toe Agent/021 Tic Tac Toe Code The Environment.mp4

10.05MB

03 Build an Intelligent Tic-Tac-Toe Agent/022 Tic Tac Toe Code The Agent.mp4

9.01MB

03 Build an Intelligent Tic-Tac-Toe Agent/023 Tic Tac Toe Code Main Loop and Demo.mp4

9.44MB

03 Build an Intelligent Tic-Tac-Toe Agent/024 Tic Tac Toe Summary.mp4

8.31MB

04 Markov Decision Proccesses/025 Gridworld.mp4

3.36MB

04 Markov Decision Proccesses/026 The Markov Property.mp4

7.18MB

04 Markov Decision Proccesses/027 Defining and Formalizing the MDP.mp4

6.64MB

04 Markov Decision Proccesses/028 Future Rewards.mp4

5.17MB

04 Markov Decision Proccesses/029 Value Functions.mp4

7.08MB

04 Markov Decision Proccesses/030 Optimal Policy and Optimal Value Function.mp4

6.31MB

04 Markov Decision Proccesses/031 MDP Summary.mp4

2.41MB

05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4

4.83MB

05 Dynamic Programming/033 Gridworld in Code.mp4

11.46MB

05 Dynamic Programming/034 Iterative Policy Evaluation in Code.mp4

12.06MB

05 Dynamic Programming/035 Policy Improvement.mp4

4.53MB

05 Dynamic Programming/036 Policy Iteration.mp4

3.13MB

05 Dynamic Programming/037 Policy Iteration in Code.mp4

7.62MB

05 Dynamic Programming/038 Policy Iteration in Windy Gridworld.mp4

9.1MB

05 Dynamic Programming/039 Value Iteration.mp4

6.18MB

05 Dynamic Programming/040 Value Iteration in Code.mp4

4.89MB

05 Dynamic Programming/041 Dynamic Programming Summary.mp4

8.31MB

06 Monte Carlo/042 Monte Carlo Intro.mp4

4.97MB

06 Monte Carlo/043 Monte Carlo Policy Evaluation.mp4

8.75MB

06 Monte Carlo/044 Monte Carlo Policy Evaluation in Code.mp4

7.91MB

06 Monte Carlo/045 Policy Evaluation in Windy Gridworld.mp4

7.81MB

06 Monte Carlo/046 Monte Carlo Control.mp4

9.26MB

06 Monte Carlo/047 Monte Carlo Control in Code.mp4

10.17MB

06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4

4.62MB

06 Monte Carlo/049 Monte Carlo Control without Exploring Starts in Code.mp4

8.05MB

06 Monte Carlo/050 Monte Carlo Summary.mp4

5.71MB

07 Temporal Difference Learning/051 Temporal Difference Intro.mp4

2.72MB

07 Temporal Difference Learning/052 TD0 Prediction.mp4

5.82MB

07 Temporal Difference Learning/053 TD0 Prediction in Code.mp4

5.32MB

07 Temporal Difference Learning/054 SARSA.mp4

8.2MB

07 Temporal Difference Learning/055 SARSA in Code.mp4

8.82MB

07 Temporal Difference Learning/056 Q Learning.mp4

4.84MB

07 Temporal Difference Learning/057 Q Learning in Code.mp4

5.42MB

07 Temporal Difference Learning/058 TD Summary.mp4

3.94MB

08 Approximation Methods/059 Approximation Intro.mp4

6.46MB

08 Approximation Methods/060 Linear Models for Reinforcement Learning.mp4

6.46MB

08 Approximation Methods/061 Features.mp4

6.24MB

08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4

2.84MB

08 Approximation Methods/063 Monte Carlo Prediction with Approximation in Code.mp4

6.56MB

08 Approximation Methods/064 TD0 Semi-Gradient Prediction.mp4

8.35MB

08 Approximation Methods/065 Semi-Gradient SARSA.mp4

4.7MB

08 Approximation Methods/066 Semi-Gradient SARSA in Code.mp4

10.61MB

08 Approximation Methods/067 Course Summary and Next Steps.mp4

13.24MB

09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4

43.92MB

09 Appendix/069 How to Code by Yourself part 1.mp4

24.53MB

09 Appendix/070 How to Code by Yourself part 2.mp4

14.8MB

09 Appendix/071 Where to get discount coupons and FREE deep learning material.mp4

4.02MB

[FreeCourseSite.com].txt

1.07KB

[FreeCourseSite.com].url

127B

[HaxTech.me].txt

1.05KB

[HaxTech.me].url

123B

Latest Search:

1.SYKH-023 2.SSNI+057 3.dvaj404 4.MasterChef.Australia.S15E41.480p.x264-mSD[eztv.re].mkv 5.2877469 6.start220 7.sprd-28 8.Gomorrah S05E05 9.05호 10.HMIX039 11.CEMD-595 12.きんいろモザイク』キャラクターＣＤ 13.SAT0084 14.PPV-3116297 15.Jukujo6273 16.E768 17.horosuke_ (horosuke) 18.Brazzers House 2017 19.S15E06 20.ADN-623 21.めぐり 22.там 23.Molina 24.double 100 25.Lesbea 24.12.03 26.Captain Blood 27.jul-030 28.YMDD-397 29.PRADA 30.2024x06

Latest Search: 1.SYKH-023 2.SSNI+057 3.dvaj404 4.MasterChef.Australia.S​15​E​41.480​p.x​264-mSD[eztv.re].mkv 5.2877469

[FreeCourseSite.com] Udemy - Artificial Intelligence Reinforcement Learning in Python

Latest Search:

Latest Search: 1.SYKH-023 2.SSNI+057 3.dvaj404 4.MasterChef.Australia.S15E41.480p.x264-mSD[eztv.re].mkv 5.2877469