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种子名称： [CourseClub.NET] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0
文件类型： 视频
文件数目： 246个文件
文件大小： 2.05 GB
收录时间： 2019-1-21 12:11
已经下载： 3次
资源热度： 186
最近下载： 2025-1-27 00:26

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[CourseClub.NET] Udacity - Deep Reinforcement Learning Nanodegree v1.0.0.torrent

Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/01. Welcome To DRLND-i1-l0n1ntes.mp48.4MB

Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/02. RL In The Real World-IGlAyGbOTHo.mp45.31MB

Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning/04. Unity Machine Learning Agents-jC12h4UAxqs.mp416.5MB

Part 01-Module 01-Lesson 05_Introduction to RL/01. Introduction-6jSFl5kxIBs.mp45.15MB

Part 01-Module 01-Lesson 05_Introduction to RL/02. Applications-CV6B84mKRNM.mp48.46MB

Part 01-Module 01-Lesson 05_Introduction to RL/03. The Setting-nh8Gwdu19nc.mp47.75MB

Part 01-Module 01-Lesson 05_Introduction to RL/04. Resources-_YPqfAnCqtk.mp46.97MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/01. Introduction-X_9l_ZqXXBA.mp42.9MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/02. The Setting, Revisited-V6Q1uF8a6kA.mp47.36MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp410.07MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/06. The Reward Hypothesis-uAqNwgZ49JE.mp44.38MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp46.84MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/08. Goals and Rewards, Part 2-pVIFc72VYH8.mp48.05MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/10. Cumulative Reward-ysriH65lV9o.mp49.96MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/11. Discounted Return-opXGNPwwn7g.mp414.3MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/13. MDPs, Part 1-NBWbluSbxPg.mp43.86MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/14. MDPs, Part 2-CUTtQvxKkNw.mp46.82MB

Part 01-Module 01-Lesson 06_The RL Framework The Problem/17. MDPs, Part 3-UlXHFbla3QI.mp414.75MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/01. Introduction-9Wyf5Zsska8.mp45.39MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp420.24MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/04. Gridworld Example-XeHBmPFqTsE.mp42.38MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/05. State-Value Functions-llakAjwox_8.mp45.28MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/06. Bellman Equations-UgIaDMvSdUo.mp44.14MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/08. Optimality-j231aRV74QM.mp45.99MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/09. Action-Value Functions-KJLaRfOOPGA.mp46.6MB

Part 01-Module 01-Lesson 07_The RL Framework The Solution/11. Optimal Policies-2rguYpVyCto.mp47.11MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/01. L601 Intro RENDER V2-3H5x0lstvmo.mp41.18MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp43.46MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp48.29MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp44.76MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp41.96MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp42.05MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp413.73MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.mp42.56MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/12. L612 Epsilon Greedy Policies RENDER V4-PxJMtlR06MY.mp44.69MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.mp43.32MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. L617 Constant Alpha Edits RENDER V1-LetHoOtNdJc.mp41.05MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/16. MC Control Constant-alpha-QFV1nI9Zpoo.mp412.46MB

Part 01-Module 01-Lesson 08_Monte Carlo Methods/17. M1 L6 S2 V1-6E_3NJcoxmU.mp413.76MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp420.67MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp43.46MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/03. Quiz MC Control Methods-ZwIg6LDMyuo.mp42.61MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 1-HYV0SP9wm7g.mp43.46MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/04. TD Control Sarsa Part 2-U_CV-UC9G2c.mp42.22MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/06. TD Control Sarsamax-4DxoYuR7aZ4.mp416.53MB

Part 01-Module 01-Lesson 09_Temporal-Difference Methods/08. TD Control Expected Sarsa-kEKupCyU0P0.mp44.28MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/02. Introduction-GPjK124RU5g.mp433.2MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp421.37MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/05. Discretization-j2eZyUpy--E.mp412.55MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/08. Tile Coding-BRs7AnTZ_8k.mp411.03MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/11. Coarse Coding-Uu1J5KLAfTU.mp410.3MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/12. Function Approximation-UTGWVY6jEdg.mp420.08MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/13. Linear Function Approximation-OJ5wrB7o-pI.mp428.67MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/14. Kernel Functions-RdkPVYyVOvU.mp48.91MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/15. Non-Linear Function Approximation-rITnmpD2mN8.mp44.95MB

Part 01-Module 01-Lesson 11_RL in Continuous Spaces/16. Summary-MTEBk43oByU.mp49.91MB

Part 01-Module 01-Lesson 12_What's Next/01. Arpan Rollercoaster-Rf6cCYRqV58.mp47.81MB

Part 02-Module 01-Lesson 01_Study Plan/02. Deep RL in Robotics-IjG_IWJdb1w.mp47.29MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/01. DQN Overview-WgiAvr7COR0.mp44.85MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/01. From RL to Deep RL-7HLJ0uaR1F0.mp43.54MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/02. Deep Q-Networks-GgtR_d1OB-M.mp425.67MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/03. Experience Replay-wX_-SZG-YMQ.mp448.38MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/04. Fixed Q-Targets-SWpyiEezfp4.mp420.97MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/05. Deep Q-Learning Algorithm-MqTXoCxQ_eY.mp417.45MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/09. 10 Double DQN V2-PGCEMLujiGI.mp43.46MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/10. 10 Prioritized Experience Replay V1-cN8z-7Ze9L8.mp45.86MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/11. 10 Dueling DQN V2-zZeHbPs39Ls.mp41.64MB

Part 02-Module 01-Lesson 02_Deep Q-Networks/13. Summary-x6JggcDTcys.mp47.2MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/01. 01 Introduction RENDER V2-dfeawuScC7k.mp44.65MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp47.16MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/02. 03 Transitioning-BvDvxw8e0CY.mp41.48MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/03. 03 CC API HSSC HS RENDER V3-a9-HdpCaYW4.mp43.3MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. 09 Jetson TX2 Edits V1-M26z7vTti_g.mp46.14MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/09. Jetson Overview-i56qM6NNW9A.mp414.64MB

Part 02-Module 01-Lesson 03_Deep RL for Robotics/10. 10 Summary HS V3-cb1FGgZIitc.mp42.57MB

Part 02-Module 01-Lesson 04_Navigation/04. Getting Started-ltz2GhFv04A.mp41.58MB

Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning/02. Career Services-cuKecPpZ7PM.mp410.12MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp49.59MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp43.36MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp43.72MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp421.79MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4569.35KB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp41.59MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp43.99MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp42.25MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp46.92MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp413.17MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp43.03MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp42.77MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp425.04MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp43.3MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp42.45MB

Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp43.46MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/01. M3 L2 C01 V2-mMnhi8yzwKk.mp44.23MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/02. M3 L2 C02 V1-v8tGjlc2aG4.mp42.69MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/04. M3 L2 C04 V3-5E86a0OyVyI.mp44.97MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/05. M3 L2 C05 V1-0XzzqIXyax0.mp41.5MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/06. M2L3 04 V1-QicxmyE5vTo.mp421.03MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/07. M3 L2 C07 V3-2poDljPvY58.mp42.07MB

Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods/11. M2L3 02 V2-ToS8vXGdODE.mp432.51MB

Part 03-Module 01-Lesson 03_Policy Gradient Methods/01. M3L3 C01 V3-ZEhQRASU5O4.mp47.4MB

Part 03-Module 01-Lesson 03_Policy Gradient Methods/02. M3L3 C02 V6-zoOgRoaxGiU.mp46.51MB

Part 03-Module 01-Lesson 03_Policy Gradient Methods/03. M3L3 C03 V2-dJz_p4FKE-g.mp46.52MB

Part 03-Module 01-Lesson 03_Policy Gradient Methods/04. M3L3 C04 V2-St9ftvMQ_ks.mp44.26MB

Part 03-Module 01-Lesson 03_Policy Gradient Methods/05. M3L3 C05 V2-o6CI2q3IXEs.mp49.15MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/01. Instructor Introduction-sokSgNtGj9Y.mp43.24MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4337.4KB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/04. Noise Reduction-GCGqT2knFJ0.mp42.93MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/05. Credit Assignment-tfZw1moB25Y.mp41.7MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp417.37MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/09. Importance Sampling-cYPvWriOPIk.mp45.69MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp43.27MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp45.27MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/12. TLPPO Summary V1-qRAUAAWA_kc.mp41.23MB

Part 03-Module 01-Lesson 04_Proximal Policy Optimization/13. Pong with PPO walkthrough-XhfhR7Z01S0.mp48.34MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp48.05MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp46.46MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp45.69MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp45.84MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp414.04MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp416.85MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp43.95MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp414.97MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp43.77MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp423.31MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp43.62MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/12. A2c Export V1-LiUBJje2N0c.mp438.55MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp411.33MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp47.85MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp46.62MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/16. DDPG Export V1-08V9r3NgFSE.mp430.37MB

Part 03-Module 01-Lesson 05_Actor-Critic Methods/17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp48.09MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp42.99MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp49.6MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp49.82MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp410.36MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp41.83MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp42.11MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp42.97MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp47.44MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp48.65MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp49.04MB

Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)/11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp48.25MB

Part 03-Module 01-Lesson 07_Continuous Control/04. Untitled-i2gVvXgOMnc.mp42.16MB

Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp417.37MB

Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp432.54MB

Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp420.63MB

Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp49.98MB

Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp48.93MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4774.91KB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp44MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp44.61MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp42.73MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp44.75MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp44.65MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp45.06MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp45.87MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp42.27MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp42.89MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.mp42.58MB

Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL/13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp44.2MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp46.76MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/02. Zero-Sum Game-uPw1dHVqdXQ.mp44.86MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp46.31MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp46.78MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp48.02MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp45.14MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp426.9MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp429.33MB

Part 04-Module 01-Lesson 03_Case Study AlphaZero/09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp414.23MB

Part 04-Module 01-Lesson 04_Collaboration and Competition/03. Untitled-kxDvrkg8ep0.mp41.48MB

Part 05-Module 01-Lesson 01_Dynamic Programming/01. Introduction-ek2PD9RDrWw.mp46.18MB

Part 05-Module 01-Lesson 01_Dynamic Programming/04. Another Gridworld Example-n9SbomnLb-U.mp44.69MB

Part 05-Module 01-Lesson 01_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp427.57MB

Part 05-Module 01-Lesson 01_Dynamic Programming/08. Iterative Policy Evaluation-eDXIL_oOJHI.mp426.59MB

Part 05-Module 01-Lesson 01_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp430.38MB

Part 05-Module 01-Lesson 01_Dynamic Programming/17. Policy Iteration-gqv7o1kBDc0.mp48.14MB

Part 05-Module 01-Lesson 01_Dynamic Programming/20. Truncated Policy Iteration-a-RvCxlPMho.mp414.13MB

Part 05-Module 01-Lesson 01_Dynamic Programming/23. Value Iteration-XNeQn8N36y8.mp415.65MB

Part 06-Module 01-Lesson 01_Neural Networks/02. Why Neural Networks-zAkzOZntK6Y.mp4982.27KB

Part 06-Module 01-Lesson 01_Neural Networks/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp42.83MB

Part 06-Module 01-Lesson 01_Neural Networks/03. Combinando modelos-Boy3zHVrWB4.mp44.73MB

Part 06-Module 01-Lesson 01_Neural Networks/03. Layers-pg99FkXYK0M.mp43.11MB

Part 06-Module 01-Lesson 01_Neural Networks/03. Multiclass Classification-uNTtvxwfox0.mp41.88MB

Part 06-Module 01-Lesson 01_Neural Networks/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp45.33MB

Part 06-Module 01-Lesson 01_Neural Networks/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp41.72MB

Part 06-Module 01-Lesson 01_Neural Networks/05. Backpropagation V2-1SmY3TZTyUk.mp46.52MB

Part 06-Module 01-Lesson 01_Neural Networks/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp43.31MB

Part 06-Module 01-Lesson 01_Neural Networks/05. Chain Rule-YAhIBOnbt54.mp41.46MB

Part 06-Module 01-Lesson 01_Neural Networks/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp45.69MB

Part 06-Module 01-Lesson 01_Neural Networks/06. Training Optimization-UiGKhx9pUYc.mp42.96MB

Part 06-Module 01-Lesson 01_Neural Networks/07. Testing-EeBZpb-PSac.mp42MB

Part 06-Module 01-Lesson 01_Neural Networks/08. Underfitting And Overfitting-xj4PlXMsN-Y.mp46.42MB

Part 06-Module 01-Lesson 01_Neural Networks/09. Model Complexity Graph-NnS0FJyVcDQ.mp44.9MB

Part 06-Module 01-Lesson 01_Neural Networks/10. DL 53 Q Regularization-KxROxcRsHL8.mp41.01MB

Part 06-Module 01-Lesson 01_Neural Networks/11. Regularization-ndYnUrx8xvs.mp47.57MB

Part 06-Module 01-Lesson 01_Neural Networks/12. Dropout-Ty6K6YiGdBs.mp44.22MB

Part 06-Module 01-Lesson 01_Neural Networks/13. Local Minima-gF_sW_nY-xw.mp4819.86KB

Part 06-Module 01-Lesson 01_Neural Networks/14. Vanishing Gradient-W_JJm_5syFw.mp41.32MB

Part 06-Module 01-Lesson 01_Neural Networks/15. Other Activation Functions-kA-1vUt6cvQ.mp42.3MB

Part 06-Module 01-Lesson 01_Neural Networks/16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp43.95MB

Part 06-Module 01-Lesson 01_Neural Networks/17. Learning Rate-TwJ8aSZoh2U.mp4927.05KB

Part 06-Module 01-Lesson 01_Neural Networks/18. Random Restart-idyBBCzXiqg.mp4394.99KB

Part 06-Module 01-Lesson 01_Neural Networks/19. Momentum-r-rYz_PEWC8.mp42.14MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp45.03MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/04. Convolutional Layers (Part 2)-LX-yVob3c28.mp419.85MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/08. Pooling Layers-OkkIZNs7Cyc.mp45.82MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. Dropout-Ty6K6YiGdBs.mp44.22MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/15. 动量-r-rYz_PEWC8.mp42.14MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp44.54MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp42.84MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp49.51MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp43.35MB

Part 06-Module 01-Lesson 02_Convolutional Neural Networks/26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp43.49MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp413.81MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp434.58MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp428.37MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp43.32MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp427.08MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp415.94MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp414.62MB

Part 06-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp424.88MB

Part 08-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp46.03MB

Part 08-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp47.4MB

Part 08-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp45.85MB

Part 08-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp411.98MB

Part 08-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp410.49MB

Part 08-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp45.13MB

Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp46.09MB

Part 08-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp413.16MB

Part 08-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp411.65MB

Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp48.1MB

Part 08-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp42.2MB

Part 08-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp41.63MB

Part 08-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp47.96MB

Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp44.28MB

Part 08-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp410.64MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp43.25MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp47.76MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp44.26MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp426.5MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp45.37MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp43.58MB

Part 08-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp44.47MB

Part 08-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp412.76MB

Part 08-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp42.31MB