[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python

磁力链接/BT种子名称

[FreeTutorials.Us] artificial-intelligence-reinforcement-learning-in-python

磁力链接/BT种子简介

种子哈希：8ec3f86afd90131e04c72823e4d483731202347e
文件大小：592.52M
已经下载：1079次
下载速度：极快
收录时间：2017-08-20
最近下载：2024-11-29

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:8EC3F86AFD90131E04C72823E4D483731202347E
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • 01 Introduction and Outline/001 Introduction and outline.mp4 10.6 MB
  • 01 Introduction and Outline/002 What is Reinforcement Learning.mp4 23.0 MB
  • 01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
  • 01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.9 MB
  • 02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.8 MB
  • 02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
  • 02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
  • 02 Return of the Multi-Armed Bandit/008 Comparing Different Epsilons.mp4 8.4 MB
  • 02 Return of the Multi-Armed Bandit/009 Optimistic Initial Values.mp4 5.4 MB
  • 02 Return of the Multi-Armed Bandit/010 UCB1.mp4 8.6 MB
  • 02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 16.0 MB
  • 02 Return of the Multi-Armed Bandit/012 Thompson Sampling vs. Epsilon-Greedy vs. Optimistic Initial Values vs. UCB1.mp4 11.1 MB
  • 02 Return of the Multi-Armed Bandit/013 Nonstationary Bandits.mp4 7.8 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/014 Naive Solution to Tic-Tac-Toe.mp4 6.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/015 Components of a Reinforcement Learning System.mp4 13.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 27.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/018 Tic Tac Toe Code Outline.mp4 5.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/020 Tic Tac Toe Code Enumerating States Recursively.mp4 10.3 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/021 Tic Tac Toe Code The Environment.mp4 10.5 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/022 Tic Tac Toe Code The Agent.mp4 9.4 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/023 Tic Tac Toe Code Main Loop and Demo.mp4 9.9 MB
  • 03 Build an Intelligent Tic-Tac-Toe Agent/024 Tic Tac Toe Summary.mp4 8.7 MB
  • 04 Markov Decision Proccesses/025 Gridworld.mp4 3.5 MB
  • 04 Markov Decision Proccesses/026 The Markov Property.mp4 7.5 MB
  • 04 Markov Decision Proccesses/027 Defining and Formalizing the MDP.mp4 7.0 MB
  • 04 Markov Decision Proccesses/028 Future Rewards.mp4 5.4 MB
  • 04 Markov Decision Proccesses/029 Value Functions.mp4 7.4 MB
  • 04 Markov Decision Proccesses/030 Optimal Policy and Optimal Value Function.mp4 6.6 MB
  • 04 Markov Decision Proccesses/031 MDP Summary.mp4 2.5 MB
  • 05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 5.1 MB
  • 05 Dynamic Programming/033 Gridworld in Code.mp4 12.0 MB
  • 05 Dynamic Programming/034 Iterative Policy Evaluation in Code.mp4 12.6 MB
  • 05 Dynamic Programming/035 Policy Improvement.mp4 4.8 MB
  • 05 Dynamic Programming/036 Policy Iteration.mp4 3.3 MB
  • 05 Dynamic Programming/037 Policy Iteration in Code.mp4 8.0 MB
  • 05 Dynamic Programming/038 Policy Iteration in Windy Gridworld.mp4 9.5 MB
  • 05 Dynamic Programming/039 Value Iteration.mp4 6.5 MB
  • 05 Dynamic Programming/040 Value Iteration in Code.mp4 5.1 MB
  • 05 Dynamic Programming/041 Dynamic Programming Summary.mp4 8.7 MB
  • 06 Monte Carlo/042 Monte Carlo Intro.mp4 5.2 MB
  • 06 Monte Carlo/043 Monte Carlo Policy Evaluation.mp4 9.2 MB
  • 06 Monte Carlo/044 Monte Carlo Policy Evaluation in Code.mp4 8.3 MB
  • 06 Monte Carlo/045 Policy Evaluation in Windy Gridworld.mp4 8.2 MB
  • 06 Monte Carlo/046 Monte Carlo Control.mp4 9.7 MB
  • 06 Monte Carlo/047 Monte Carlo Control in Code.mp4 10.7 MB
  • 06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4 4.8 MB
  • 06 Monte Carlo/049 Monte Carlo Control without Exploring Starts in Code.mp4 8.4 MB
  • 06 Monte Carlo/050 Monte Carlo Summary.mp4 6.0 MB
  • 07 Temporal Difference Learning/051 Temporal Difference Intro.mp4 2.9 MB
  • 07 Temporal Difference Learning/052 TD0 Prediction.mp4 6.1 MB
  • 07 Temporal Difference Learning/053 TD0 Prediction in Code.mp4 5.6 MB
  • 07 Temporal Difference Learning/054 SARSA.mp4 8.6 MB
  • 07 Temporal Difference Learning/055 SARSA in Code.mp4 9.2 MB
  • 07 Temporal Difference Learning/056 Q Learning.mp4 5.1 MB
  • 07 Temporal Difference Learning/057 Q Learning in Code.mp4 5.7 MB
  • 07 Temporal Difference Learning/058 TD Summary.mp4 4.1 MB
  • 08 Approximation Methods/059 Approximation Intro.mp4 6.8 MB
  • 08 Approximation Methods/060 Linear Models for Reinforcement Learning.mp4 6.8 MB
  • 08 Approximation Methods/061 Features.mp4 6.5 MB
  • 08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4 3.0 MB
  • 08 Approximation Methods/063 Monte Carlo Prediction with Approximation in Code.mp4 6.9 MB
  • 08 Approximation Methods/064 TD0 Semi-Gradient Prediction.mp4 8.8 MB
  • 08 Approximation Methods/065 Semi-Gradient SARSA.mp4 4.9 MB
  • 08 Approximation Methods/066 Semi-Gradient SARSA in Code.mp4 11.1 MB
  • 08 Approximation Methods/067 Course Summary and Next Steps.mp4 13.9 MB
  • 09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • 09 Appendix/069 How to Code by Yourself part 1.mp4 25.7 MB
  • 09 Appendix/070 How to Code by Yourself part 2.mp4 15.5 MB
  • 09 Appendix/071 Where to get discount coupons and FREE deep learning material.mp4 4.2 MB
  • [FreeTutorials.Us].txt 75 Bytes
  • Freetutorials.Us.url 119 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>