Udacity - Deep Reinforcement Learning Nanodegree [Course Drive]

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Udacity - Deep Reinforcement Learning Nanodegree [Course Drive] (Size: 2.3 GB)
  Course Downloaded from coursedrive.net.txt 428 B
  Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0
  Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning
  01. Welcome To DRLND-i1-l0n1ntes.en.vtt 3.1 KB
  01. Welcome To DRLND-i1-l0n1ntes.mp4 8.4 MB
  01. Welcome to the Deep Reinforcement Learning Nanodegree.html 5.3 KB
  02. RL In The Real World-IGlAyGbOTHo.en.vtt 1.92 KB
  02. RL In The Real World-IGlAyGbOTHo.mp4 5.31 MB
  02. RL in the Real World.html 5.24 KB
  03. Overview of the ND Program.html 14.29 KB
  04. Projects You Will Build.html 8.85 KB
  04. Unity Machine Learning Agents-jC12h4UAxqs.en.vtt 3.86 KB
  04. Unity Machine Learning Agents-jC12h4UAxqs.mp4 16.5 MB
  05. Play Tennis!.html 7.54 KB
  06. Deadline Policy.html 14.08 KB
  07. Udacity Support.html 9.6 KB
  08. Community Guidelines.html 7.89 KB
  img
  banana.gif 4.16 MB
  bipedal-walker.gif 2.52 MB
  dumb-soccer.gif 3.2 MB
  game-example.gif 399.55 KB
  lunar-lander.gif 101.3 KB
  mjg2mzcyma.gif 1.16 MB
  mountain-car-cts.gif 112.61 KB
  output.gif 10.16 MB
  reacher.gif 3.98 MB
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  soccer.gif 5.22 MB
  index.html 4.13 KB
  Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors
  01. What It Takes.html 5.49 KB
  02. Reviews.html 5.35 KB
  03. Knowledge.html 6.7 KB
  04. Student Hub.html 6.3 KB
  img
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  index.html 3.67 KB
  Part 01-Module 01-Lesson 03_Get Help with Your Account
  01. FAQ.html 5.4 KB
  02. Support.html 5.01 KB
  img
  screen-shot-2018-11-09-at-7.38.47-pm.png 110.58 KB
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  index.html 3.52 KB
  Part 01-Module 01-Lesson 04_Learning Plan
  01. Learning Plan.html 9.47 KB
  02. Reference Guide.html 5.55 KB
  03. OpenAI Gym.html 10.54 KB
  04. GitHub Repository.html 5.57 KB
  05. AWS Credits.html 5.54 KB
  06. Student Resources.html 6.42 KB
  img
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  openaigym-gif.gif 2.05 MB
  paper-notes.png 67.42 KB
  udacitylogo.jpg?042148 107.33 KB
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  index.html 3.8 KB
  Part 01-Module 01-Lesson 05_Introduction to RL
  01. Introduction-6jSFl5kxIBs.en.vtt 2.41 KB
  01. Introduction-6jSFl5kxIBs.mp4 5.15 MB
  01. Introduction-6jSFl5kxIBs.pt-BR.vtt 2.43 KB
  01. Introduction-6jSFl5kxIBs.zh-CN.vtt 2.11 KB
  01. Introduction.html 5.26 KB
  02. Applications-CV6B84mKRNM.en.vtt 3.22 KB
  02. Applications-CV6B84mKRNM.mp4 8.46 MB
  02. Applications-CV6B84mKRNM.pt-BR.vtt 3.42 KB
  02. Applications-CV6B84mKRNM.zh-CN.vtt 2.91 KB
  02. Applications.html 6.98 KB
  03. The Setting-nh8Gwdu19nc.en.vtt 7.06 KB
  03. The Setting-nh8Gwdu19nc.mp4 7.75 MB
  03. The Setting-nh8Gwdu19nc.pt-BR.vtt 7.31 KB
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  03. The Setting.html 4.88 KB
  04. Resources-_YPqfAnCqtk.en.vtt 2.07 KB
  04. Resources-_YPqfAnCqtk.mp4 6.97 MB
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  04. Resources.html 5.66 KB
  index.html 3.65 KB
  Part 01-Module 01-Lesson 06_The RL Framework The Problem
  01. Introduction-X_9l_ZqXXBA.en.vtt 830 B
  01. Introduction-X_9l_ZqXXBA.mp4 2.9 MB
  01. Introduction-X_9l_ZqXXBA.pt-BR.vtt 866 B
  01. Introduction-X_9l_ZqXXBA.zh-CN.vtt 718 B
  01. Introduction.html 6.77 KB
  02. The Setting, Revisited-V6Q1uF8a6kA.en.vtt 5.6 KB
  02. The Setting, Revisited-V6Q1uF8a6kA.mp4 7.36 MB
  02. The Setting, Revisited-V6Q1uF8a6kA.pt-BR.vtt 5.78 KB
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  02. The Setting, Revisited.html 6.58 KB
  03. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt 2.82 KB
  03. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4 10.07 MB
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  03. Episodic vs. Continuing Tasks.html 6.63 KB
  04. Quiz Test Your Intuition.html 12.64 KB
  05. Quiz Episodic or Continuing.html 9.04 KB
  06. The Reward Hypothesis-uAqNwgZ49JE.en.vtt 3.45 KB
  06. The Reward Hypothesis-uAqNwgZ49JE.mp4 4.38 MB
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  06. The Reward Hypothesis.html 6.58 KB
  07. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt 3.25 KB
  07. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4 6.84 MB
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  07. Goals and Rewards, Part 1.html 6.6 KB
  08. Goals and Rewards, Part 2-pVIFc72VYH8.en.vtt 5.72 KB
  08. Goals and Rewards, Part 2-pVIFc72VYH8.mp4 8.05 MB
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  08. Goals and Rewards, Part 2.html 7.19 KB
  09. Quiz Goals and Rewards.html 12.98 KB
  10. Cumulative Reward-ysriH65lV9o.en.vtt 5.36 KB
  10. Cumulative Reward-ysriH65lV9o.mp4 9.96 MB
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  10. Cumulative Reward.html 6.55 KB
  11. Discounted Return-opXGNPwwn7g.en.vtt 7.16 KB
  11. Discounted Return-opXGNPwwn7g.mp4 14.3 MB
  11. Discounted Return-opXGNPwwn7g.pt-BR.vtt 7.96 KB
  11. Discounted Return-opXGNPwwn7g.zh-CN.vtt 5.97 KB
  11. Discounted Return.html 7.35 KB
  12. Quiz Pole-Balancing.html 12.01 KB
  13. MDPs, Part 1-NBWbluSbxPg.en.vtt 4 KB
  13. MDPs, Part 1-NBWbluSbxPg.mp4 3.86 MB
  13. MDPs, Part 1-NBWbluSbxPg.pt-BR.vtt 4.29 KB
  13. MDPs, Part 1-NBWbluSbxPg.zh-CN.vtt 3.38 KB
  13. MDPs, Part 1.html 7.89 KB
  14. MDPs, Part 2-CUTtQvxKkNw.en.vtt 6.81 KB
  14. MDPs, Part 2-CUTtQvxKkNw.mp4 6.82 MB
  14. MDPs, Part 2-CUTtQvxKkNw.pt-BR.vtt 7.27 KB
  14. MDPs, Part 2-CUTtQvxKkNw.zh-CN.vtt 5.71 KB
  14. MDPs, Part 2.html 6.51 KB
  15. Quiz One-Step Dynamics, Part 1.html 11.1 KB
  16. Quiz One-Step Dynamics, Part 2.html 14.77 KB
  17. MDPs, Part 3-UlXHFbla3QI.en.vtt 2.97 KB
  17. MDPs, Part 3-UlXHFbla3QI.mp4 14.75 MB
  17. MDPs, Part 3-UlXHFbla3QI.pt-BR.vtt 3.38 KB
  17. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt 2.42 KB
  17. MDPs, Part 3.html 6.51 KB
  18. Finite MDPs.html 11.29 KB
  19. Summary.html 12.12 KB
  img
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  chess-game.jpg?042148 7.54 MB
  go.jpg?042148 614.8 KB
  index.jpg?042148 11.56 KB
  maze.png 4.2 KB
  pup.jpg?042148 181.27 KB
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  index.html 4.92 KB
  Part 01-Module 01-Lesson 07_The RL Framework The Solution
  01. Introduction-9Wyf5Zsska8.en.vtt 1.33 KB
  01. Introduction-9Wyf5Zsska8.mp4 5.39 MB
  01. Introduction-9Wyf5Zsska8.pt-BR.vtt 1.37 KB
  01. Introduction-9Wyf5Zsska8.zh-CN.vtt 1.16 KB
  01. Introduction.html 6.1 KB
  02. Policies-hc3LrvaC13U.en.vtt 4.79 KB
  02. Policies-hc3LrvaC13U.mp4 20.24 MB
  02. Policies-hc3LrvaC13U.pt-BR.vtt 5.44 KB
  02. Policies-hc3LrvaC13U.zh-CN.vtt 4.03 KB
  02. Policies.html 5.81 KB
  03. Quiz Interpret the Policy.html 12.29 KB
  04. Gridworld Example-XeHBmPFqTsE.en.vtt 2.56 KB
  04. Gridworld Example-XeHBmPFqTsE.mp4 2.38 MB
  04. Gridworld Example-XeHBmPFqTsE.pt-BR.vtt 2.82 KB
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  04. Gridworld Example.html 5.88 KB
  05. State-Value Functions-llakAjwox_8.en.vtt 4.67 KB
  05. State-Value Functions-llakAjwox_8.mp4 5.28 MB
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  05. State-Value Functions.html 7.18 KB
  06. Bellman Equations-UgIaDMvSdUo.en.vtt 3.78 KB
  06. Bellman Equations-UgIaDMvSdUo.mp4 4.14 MB
  06. Bellman Equations-UgIaDMvSdUo.pt-BR.vtt 3.86 KB
  06. Bellman Equations-UgIaDMvSdUo.zh-CN.vtt 2.99 KB
  06. Bellman Equations.html 10.49 KB
  07. Quiz State-Value Functions.html 12.63 KB
  08. Optimality-j231aRV74QM.en.vtt 4.6 KB
  08. Optimality-j231aRV74QM.mp4 5.99 MB
  08. Optimality-j231aRV74QM.pt-BR.vtt 5.06 KB
  08. Optimality-j231aRV74QM.zh-CN.vtt 3.85 KB
  08. Optimality.html 5.83 KB
  09. Action-Value Functions-KJLaRfOOPGA.en.vtt 4.65 KB
  09. Action-Value Functions-KJLaRfOOPGA.mp4 6.6 MB
  09. Action-Value Functions-KJLaRfOOPGA.pt-BR.vtt 5.32 KB
  09. Action-Value Functions-KJLaRfOOPGA.zh-CN.vtt 3.94 KB
  09. Action-Value Functions.html 6.71 KB
  10. Quiz Action-Value Functions.html 6.9 KB
  11. Optimal Policies-2rguYpVyCto.en.vtt 3.91 KB
  11. Optimal Policies-2rguYpVyCto.mp4 7.11 MB
  11. Optimal Policies-2rguYpVyCto.pt-BR.vtt 4.2 KB
  11. Optimal Policies-2rguYpVyCto.zh-CN.vtt 3.32 KB
  11. Optimal Policies.html 5.87 KB
  12. Quiz Optimal Policies.html 12.79 KB
  13. Summary.html 11.02 KB
  img
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  Part 01-Module 01-Lesson 08_Monte Carlo Methods
  01. L601 Intro RENDER V2-3H5x0lstvmo.en.vtt 1.35 KB
  01. L601 Intro RENDER V2-3H5x0lstvmo.mp4 1.18 MB
  01. Review.html 8.94 KB
  02. Gridworld Example.html 13.03 KB
  02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.en.vtt 3.49 KB
  02. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.46 MB
  03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.en.vtt 7.37 KB
  03. L603 Monte Carlo Methods RENDER V3-2-titaMCRl224.mp4 8.29 MB
  03. Monte Carlo Methods.html 8.44 KB
  04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.en.vtt 4.49 KB
  04. L604 MC Prediction Part 1RENDER V2-6ts9gdIS6vg.mp4 4.76 MB
  04. MC Prediction - Part 1.html 6.99 KB
  05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.en.vtt 2.04 KB
  05. L605 MC Prediction Part 2 RENDER V3-jR49ZyKuJ98.mp4 1.96 MB
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  06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.en.vtt 2.37 KB
  06. L606 MC Prediction Part 3 RENDERv1 V4-9LP6uXdmWxQ.mp4 2.05 MB
  06. MC Prediction - Part 3.html 12.65 KB
  07. OpenAI Gym BlackJackEnv.html 8.78 KB
  08. Workspace - Introduction.html 8.68 KB
  09. Coding Exercise.html 8.2 KB
  09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.en.vtt 10.07 KB
  09. MC Prediction - Solution Walkthrough-Pwiqk7Pncgc.mp4 13.73 MB
  10. Workspace.html 6.81 KB
  11. Greedy Policies.html 8.05 KB
  11. L611 Greedy Policies RENDER V4-DH6c-aODMLU.en.vtt 3.04 KB
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  12. Epsilon-Greedy Policies.html 15.26 KB
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  13. MC Control.html 9.75 KB
  14. Exploration vs. Exploitation.html 16.84 KB
  15. Incremental Mean.html 9.95 KB
  15. L615 Incremental Mean RENDER V4-h-8MB7V1LiE.en.vtt 3.78 KB
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  17. Coding Exercise.html 7.53 KB
  17. M1 L6 S2 V1-6E_3NJcoxmU.en.vtt 8.73 KB
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  18. Workspace.html 6.81 KB
  19. Summary.html 12.5 KB
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  Part 01-Module 01-Lesson 09_Temporal-Difference Methods
  01. Introduction-yXErXQulI_o.en.vtt 2.91 KB
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  01. Introduction.html 6.43 KB
  02. Review MC Control Methods.html 8.92 KB
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  03. L602 Gridworld Example RENDER V2-2-Lwibg_IfmrA.mp4 3.46 MB
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  04. TD Control Sarsa Part 1-HYV0SP9wm7g.en.vtt 3.23 KB
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  08. TD Control Expected Sarsa-kEKupCyU0P0.en.vtt 1.22 KB
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  09. Quiz Expected Sarsa.html 10.77 KB
  10. TD Control Theory and Practice.html 9.34 KB
  11. OpenAI Gym CliffWalkingEnv.html 8.27 KB
  12. Workspace - Introduction.html 8.72 KB
  13. Coding Exercise.html 7.08 KB
  14. Workspace.html 6.72 KB
  15. Analyzing Performance.html 8.78 KB
  16. Quiz Check Your Understanding.html 14.19 KB
  17. Summary.html 8 KB
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  index.html 4.75 KB
  Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task
  01. Introduction.html 8.07 KB
  02. Instructions.html 11.03 KB
  03. Mini Project.html 5.39 KB
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  Part 01-Module 01-Lesson 11_RL in Continuous Spaces
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  02. Introduction-GPjK124RU5g.mp4 33.2 MB
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  02. Lesson Overview.html 6.61 KB
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  Part 01-Module 01-Lesson 12_What's Next
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  Part 02-Module 01-Lesson 03_Deep RL for Robotics
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  Part 02-Module 01-Lesson 04_Navigation
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  Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning
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  Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile
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  16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 B
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  Part 03-Module 01-Lesson 01_Study Plan
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  Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods
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  Part 03-Module 01-Lesson 03_Policy Gradient Methods
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  10. Summary.html 9.3 KB
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  Part 03-Module 01-Lesson 04_Proximal Policy Optimization
  01. Instructor Introduction-sokSgNtGj9Y.en.vtt 1.29 KB
  01. Instructor Introduction-sokSgNtGj9Y.mp4 3.24 MB
  01. Instructor Introduction.html 6.97 KB
  02. Lesson Preview.html 7.37 KB
  02. Training an agent to play atari-pong!-w27mvWFBnvQ.mp4 337.4 KB
  03. Beyond REINFORCE.html 7.48 KB
  04. Noise Reduction-GCGqT2knFJ0.en.vtt 3.09 KB
  04. Noise Reduction-GCGqT2knFJ0.mp4 2.93 MB
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  05. Credit Assignment-tfZw1moB25Y.en.vtt 1.56 KB
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  06. Policy Gradient Quiz.html 10.77 KB
  07. pong with REINFORCE (code walkthrough).html 7.39 KB
  07. pong with REINFORCE walkthrough-eKIjPrQWIgg.mp4 17.37 MB
  08. pong with REINFORCE (workspace).html 6.57 KB
  09. Importance Sampling-cYPvWriOPIk.en.vtt 5.42 KB
  09. Importance Sampling-cYPvWriOPIk.mp4 5.69 MB
  09. Importance Sampling.html 10.63 KB
  10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.en.vtt 3.22 KB
  10. PPO Part 1 The Surrogate Function-Y-boYZlpO7g.mp4 3.27 MB
  10. PPO part 1- The Surrogate Function.html 9.31 KB
  11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.en.vtt 5.72 KB
  11. PPO Part 2 Clipping Policy Updates-NRzjGGX6c34.mp4 5.27 MB
  11. PPO part 2- Clipping Policy Updates.html 11.66 KB
  12. PPO summary.html 7.06 KB
  12. TLPPO Summary V1-qRAUAAWA_kc.en.vtt 1.29 KB
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  13. Pong with PPO walkthrough-XhfhR7Z01S0.mp4 8.34 MB
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  14. pong with PPO (workspace).html 6.56 KB
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  Part 03-Module 01-Lesson 05_Actor-Critic Methods
  01. Introduction.html 7.83 KB
  01. M3L501 Introduction HS 1 V1-_OHo1pEaJcQ.mp4 8.05 MB
  02. M3 L5 02 Motivation V1-dpFPlDtdxyQ.mp4 6.46 MB
  02. Motivation.html 6.54 KB
  03. Bias and Variance.html 6.58 KB
  03. M3 L5 03 Bias And Variance V2-_vnkkwm46uU.mp4 5.69 MB
  04. M3 L5 04 Two Ways For Estimating Expected Returns V3-2W6yIBDvfsQ.mp4 5.84 MB
  04. Two Ways for Estimating Expected Returns.html 6.71 KB
  05. Baselines and Critics.html 7.38 KB
  05. M3 L5 05 Baselines And Critics V1-wqmqoiUuQHI.mp4 14.04 MB
  06. M3 L5 06 Policybased Valuebased And ActorCritic V1-iyin896PNEc.mp4 16.85 MB
  06. Policy-based, Value-Based, and Actor-Critic.html 6.72 KB
  07. A Basic Actor-Critic Agent.html 8.62 KB
  07. M3 L5 07 A Basic ActorCritic Agent V2-KdHQ24hBKho.mp4 3.95 MB
  08. A3C Asynchronous Advantage Actor-Critic, N-step.html 6.77 KB
  08. M3 L5 08 A3C Asynchronous Advantage ActorCritic V2-twNXFplIAP8.mp4 14.97 MB
  09. A3C Asynchronous Advantage Actor-Critic, Parallel Training.html 6.82 KB
  09. M3 L5 09 A3C Asynchronous Advantage ActorCritic Parallel Training V2-kKRbAKhjACo.mp4 3.77 MB
  10. A3C Asynchronous Advantage Actor-Critic, Off- vs On-policy.html 7.05 KB
  10. M3 L5 10 A3C Asynchronous Advantage ActorCritic Offpolicy Vs Onpolicy V1-AZiy5R0DESU.mp4 23.31 MB
  11. A2C Advantage Actor-Critic.html 6.63 KB
  11. M3 L5 11 A2C Advantage ActorCritic V2-fIWe3xA97DA.mp4 3.62 MB
  12. A2C Code Walk-through.html 6.56 KB
  12. A2c Export V1-LiUBJje2N0c.mp4 38.55 MB
  13. GAE Generalized Advantage Estimation.html 6.91 KB
  13. M3 L5 13 GAE Generalized Advantage Estimation V2-oLFocWp0dt0.mp4 11.33 MB
  14. DDPG Deep Deterministic Policy Gradient, Continuous Actions.html 7.34 KB
  14. M3 L5 14 DDPG Deep Deterministic Policy Gradient Continuous Actionspace V1-0NVOPIyrr98.mp4 7.85 MB
  15. DDPG Deep Deterministic Policy Gradient, Soft Updates.html 6.79 KB
  15. M3 L5 15 DDPG Deep Deterministic Policy Gradient Soft Updates V1-RT-HDnAVe9o.mp4 6.62 MB
  16. DDPG Code Walk-through.html 6.57 KB
  16. DDPG Export V1-08V9r3NgFSE.mp4 30.37 MB
  17. M3L517 Summary HS 1 V1-rRuiMhijw_s.mp4 8.09 MB
  17. Summary.html 7.18 KB
  index.html 5.18 KB
  Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)
  01. Introduction.html 5.83 KB
  01. M3L601 Introduction HS V1-Nn1PblFSnP8.mp4 2.99 MB
  02. High Frequency Trading.html 5.88 KB
  02. M3L602 High Frequency Trading HFT RENDER V2-oM1zZdZ-8fE.mp4 9.6 MB
  03. Challenges of Supervised Learning.html 5.92 KB
  03. M3L603 Challenges Of Supervised Learning RENDER V1-_hAPnbDtteM.mp4 9.82 MB
  04. Advantages of RL for Trading.html 5.93 KB
  04. M3L04 Advantages Of Reinforcemnt Learning For Trading RENDER V1-rqHL4BZocI8.mp4 10.36 MB
  05. M3L606 Optimization SC PT1 V1-6NiRtFyA2DU.mp4 1.83 MB
  05. Optimal Liquidation Problem - Part 1 - Introduction.html 5.91 KB
  06. M3L607 Optimization SC PT2 V1-JzL66ZbTC9U.mp4 2.11 MB
  06. Optimal Liquidation Problem - Part 2 - Market Impact.html 5.91 KB
  07. M3L608 Optimization SC PT3 V1-3pN77gMg788.mp4 2.97 MB
  07. Optimal Liquidation Problem - Part 3 - Price Model.html 5.91 KB
  08. M3L609 Optimization SC PT4 V2-N2LP-wg1jEI.mp4 7.44 MB
  08. Optimal Liquidation Problem - Part 4 - Expected Shortfall.html 5.92 KB
  09. Almgren and Chriss Model.html 6.83 KB
  09. M3L610 Almgren And Chriss Model SC V1-rokcEQ4LXbU.mp4 8.65 MB
  10. M3L611 Trading Lists SC V1-cGT-ADpHR74.mp4 9.04 MB
  10. Trading Lists.html 6.79 KB
  11. M3L612 The Efficient Frontier V1-EwM7Ksbs-ds.mp4 8.25 MB
  11. The Efficient Frontier.html 6.82 KB
  12. DRL for Optimal Execution of Portfolio Transactions.html 6.65 KB
  index.html 4.72 KB
  Part 03-Module 01-Lesson 07_Continuous Control
  01. Unity ML-Agents.html 7.42 KB
  02. The Environment - Introduction.html 9.59 KB
  03. The Environment - Real World.html 7.74 KB
  04. The Environment - Explore.html 11.53 KB
  04. Untitled-i2gVvXgOMnc.mp4 2.16 MB
  05. Project Instructions.html 8.06 KB
  06. Benchmark Implementation.html 11.99 KB
  07. Not sure where to start.html 8.61 KB
  08. General Advice.html 7.54 KB
  09. Collaborate!.html 8.34 KB
  10. Workspace.html 6.38 KB
  11. (Optional) Challenge Crawl.html 8.92 KB
  Project Description - Continuous Control.html 8.43 KB
  Project Rubric - Continuous Control.html 9.72 KB
  img
  2018-02-27-16-05-37.gif 1.31 MB
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  Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn
  01. Get Opportunities with LinkedIn.html 10.47 KB
  01. Why Network-exjEm9Paszk.ar.vtt 5.14 KB
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  01. Why Network-exjEm9Paszk.mp4 17.37 MB
  01. Why Network-exjEm9Paszk.pt-BR.vtt 3.2 KB
  01. Why Network-exjEm9Paszk.zh-CN.vtt 3.29 KB
  02. Meet Chris-0ccflD9x5WU.ar.vtt 6.32 KB
  02. Meet Chris-0ccflD9x5WU.en.vtt 4.89 KB
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  02. Meet Chris-0ccflD9x5WU.mp4 32.54 MB
  02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.47 KB
  02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.41 KB
  02. Use Your Story to Stand Out.html 7.91 KB
  03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.13 KB
  03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.53 KB
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  03. Elevator Pitch-S-nAHPrkQrQ.mp4 20.63 MB
  03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.47 KB
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  03. Why Use an Elevator Pitch.html 6.53 KB
  04. Create Your Elevator Pitch.html 7.53 KB
  04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.28 KB
  04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.06 KB
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  04. Elevator Pitch-0QtgTG49E9I.mp4 9.98 MB
  04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 1.94 KB
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  04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.19 KB
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  04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 8.93 MB
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  04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.74 KB
  05. Use Your Elevator Pitch on LinkedIn.html 8.98 KB
  06. Create Your Profile With SEO In Mind.html 8.72 KB
  07. Profile Essentials.html 10.5 KB
  08. Work Experiences Accomplishments.html 8.96 KB
  09. Build and Strengthen Your Network.html 9.87 KB
  10. Reaching Out on LinkedIn.html 8.61 KB
  11. Boost Your Visibility.html 7.86 KB
  12. Up Next.html 7.4 KB
  Project Description - Improve Your LinkedIn Profile.html 7.44 KB
  Project Rubric - Improve Your LinkedIn Profile.html 15.74 KB
  img
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  media
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  Part 04-Module 01-Lesson 01_Study Plan
  01. Study Plan.html 5.96 KB
  img
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  Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL
  01. Introducing Chhavi.html 6.03 KB
  01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.en.vtt 500 B
  01. M4 L2 C01 Introducing Chhavi HS V1-imuw8tOMed4.mp4 774.91 KB
  02. Introduction to Multi-Agent Systems.html 6.1 KB
  02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.en.vtt 1.83 KB
  02. M4 L2 C02 Introduction To Multi Agent Systems V1-ra-w63kzq6I.mp4 4 MB
  03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.en.vtt 2.19 KB
  03. M4 L2 C03 Motivation For Multi Agent Systems V1-i_s22qgQYL4.mp4 4.61 MB
  03. Motivation for Multi-Agent Systems.html 6.1 KB
  04. Applications of Multi-Agent Systems.html 6.1 KB
  04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.en.vtt 1.55 KB
  04. M4 L2 C04 Applications Of Multi Agent Systems V2-fw0G_gSDm6Q.mp4 2.73 MB
  05. Benefits of Multi-Agent Systems.html 6.08 KB
  05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.en.vtt 2.05 KB
  05. M4 L2 C05 Benefits Of Multi Agent Systems V2-NXDv9cEZTaw.mp4 4.75 MB
  06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.en.vtt 3.25 KB
  06. M4 L2 C06 Markov Games 2 V1-Y9qq4Jqnwls.mp4 4.65 MB
  06. Markov Games.html 6 KB
  07. Markov Games.html 6.65 KB
  08. Approaches to MARL.html 6.02 KB
  08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.en.vtt 2.76 KB
  08. M4 L2 C07 Approaches To MARL V1-uKV9AJykin0.mp4 5.06 MB
  09. Cooperation, Competition, Mixed Environments.html 6.15 KB
  09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.en.vtt 2 KB
  09. M4 L2 C08 Cooperation Competition Mixed Environments A V1-vx6PIH5_oFg.mp4 5.87 MB
  10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.en.vtt 823 B
  10. M4 L2 C09 Paper Description Part I HSAEG V1-nRKrQamUISs.mp4 2.27 MB
  10. Research Topics.html 6.05 KB
  11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.en.vtt 1.24 KB
  11. M4 L2 C10a Paper Description Part II V1-Ks9-TeCg3Fs.mp4 2.89 MB
  11. Paper Description, Part 1.html 6.6 KB
  12. M4 L2 C10b Paper Description Part II V2-4hFAhtLJR5U.en.vtt 1.84 KB
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  12. Paper Description, Part 2.html 6.06 KB
  13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.en.vtt 1.59 KB
  13. M4 L2 C11 Summary HS V1-yGPHGYHqjq8.mp4 4.2 MB
  13. Summary.html 5.97 KB
  14. Lab Instructions.html 8.85 KB
  15. MADDPG - Lab.html 6.99 KB
  index.html 4.69 KB
  Part 04-Module 01-Lesson 03_Case Study AlphaZero
  01. Alpha Zero Preview-Zzc1XJ1aJ-4.en.vtt 2.31 KB
  01. Alpha Zero Preview-Zzc1XJ1aJ-4.mp4 6.76 MB
  01. AlphaZero Preview.html 7.67 KB
  02. Zero-Sum Game-uPw1dHVqdXQ.en.vtt 4.95 KB
  02. Zero-Sum Game-uPw1dHVqdXQ.mp4 4.86 MB
  02. Zero-Sum Game.html 5.62 KB
  03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.en.vtt 6.21 KB
  03. Monte Carlo Tree Search 1 - Random Sampling-wn2B3j_Qz6E.mp4 6.31 MB
  03. Monte Carlo Tree Search 1 - Random Sampling.html 5.83 KB
  04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.en.vtt 6.04 KB
  04. Monte Carlo Tree Search 2 - Expansion and Back-propagation-H34Wtk1iNDY.mp4 6.78 MB
  04. Monte Carlo Tree Search 2 - Expansion and Back-propagation.html 5.93 KB
  05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.en.vtt 7.26 KB
  05. AlphaZero 1 Guided Tree Search-LinuRy47xbw.mp4 8.02 MB
  05. AlphaZero 1 Guided Tree Search.html 5.74 KB
  06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.en.vtt 4.74 KB
  06. Alpha Zero 2 Self-Play Training-wl1qfPXqRuQ.mp4 5.14 MB
  06. AlphaZero 2 Self-Play Training.html 5.75 KB
  07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.en.vtt 13.43 KB
  07. Alphazero python classes walkthrough-hKnBQvtJ_zQ.mp4 26.9 MB
  07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.en.vtt 20.05 KB
  07. TicTacToe using AlphaZero - notebook walkthrough-uUFuBscf98I.mp4 29.33 MB
  07. TicTacToe using AlphaZero - walkthrough.html 6.36 KB
  08. TicTacToe using AlphaZero - Workspace.html 6.2 KB
  09. Advanced TicTacToe using AlphaZero.html 7.05 KB
  09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.en.vtt 8.69 KB
  09. Alphazero advanced tictactoe walkthrough-MOIk_BbCjRw.mp4 14.23 MB
  index.html 4.36 KB
  Part 04-Module 01-Lesson 04_Collaboration and Competition
  01. Unity ML-Agents.html 7.16 KB
  02. The Environment - Introduction.html 7.81 KB
  03. The Environment - Explore.html 10.52 KB
  03. Untitled-kxDvrkg8ep0.mp4 1.48 MB
  04. Project Instructions.html 7.8 KB
  05. Benchmark Implementation.html 7.66 KB
  06. Collaborate!.html 8.09 KB
  07. Workspace.html 6.13 KB
  08. (Optional) Challenge Play Soccer.html 8.62 KB
  Project Description - Collaboration and Competition.html 7.49 KB
  Project Rubric - Collaboration and Competition.html 9.29 KB
  img
  2018-02-27-16-05-37.gif 1.31 MB
  849-1234251683jkyt.jpg?042148 161.07 KB
  screen-shot-2018-08-16-at-4.37.07-pm.png 301.62 KB
  soccer.png 801.98 KB
  tennis.png 120.36 KB
  unity-wide.png 26.71 KB
  we-can-do-it-poster-1393770492mjo.jpg?042148 380.95 KB
  index.html 4.33 KB
  Part 05-Module 01-Lesson 01_Dynamic Programming
  01. Introduction-ek2PD9RDrWw.en.vtt 1.04 KB
  01. Introduction-ek2PD9RDrWw.mp4 6.18 MB
  01. Introduction-ek2PD9RDrWw.pt-BR.vtt 1.09 KB
  01. Introduction-ek2PD9RDrWw.zh-CN.vtt 883 B
  01. Introduction.html 7.98 KB
  02. OpenAI Gym FrozenLakeEnv.html 10.42 KB
  03. Your Workspace.html 9.92 KB
  04. Another Gridworld Example-n9SbomnLb-U.en.vtt 2.04 KB
  04. Another Gridworld Example-n9SbomnLb-U.mp4 4.69 MB
  04. Another Gridworld Example-n9SbomnLb-U.pt-BR.vtt 2.16 KB
  04. Another Gridworld Example-n9SbomnLb-U.zh-CN.vtt 1.65 KB
  04. Another Gridworld Example.html 7.91 KB
  05. An Iterative Method, Part 1.html 7.4 KB
  05. An Iterative Method-AX-hG3KvwzY.en.vtt 7.5 KB
  05. An Iterative Method-AX-hG3KvwzY.mp4 27.57 MB
  05. An Iterative Method-AX-hG3KvwzY.pt-BR.vtt 8.24 KB
  05. An Iterative Method-AX-hG3KvwzY.zh-CN.vtt 6.27 KB
  06. An Iterative Method, Part 2.html 13.32 KB
  07. Quiz An Iterative Method.html 11.56 KB
  08. Iterative Policy Evaluation-eDXIL_oOJHI.en.vtt 7.33 KB
  08. Iterative Policy Evaluation-eDXIL_oOJHI.mp4 26.59 MB
  08. Iterative Policy Evaluation-eDXIL_oOJHI.pt-BR.vtt 7.42 KB
  08. Iterative Policy Evaluation-eDXIL_oOJHI.zh-CN.vtt 6.02 KB
  08. Iterative Policy Evaluation.html 7.44 KB
  09. Implementation.html 12.75 KB
  10. Mini Project DP (Parts 0 and 1).html 7.81 KB
  11. Action Values.html 12.16 KB
  12. Implementation.html 9.1 KB
  13. Mini Project DP (Part 2).html 7.79 KB
  14. Policy Improvement-4_adUEK0IHg.en.vtt 8.1 KB
  14. Policy Improvement-4_adUEK0IHg.mp4 30.38 MB
  14. Policy Improvement-4_adUEK0IHg.pt-BR.vtt 8.94 KB
  14. Policy Improvement-4_adUEK0IHg.zh-CN.vtt 6.9 KB
  14. Policy Improvement.html 7.37 KB
  15. Implementation.html 9.78 KB
  16. Mini Project DP (Part 3).html 7.79 KB
  17. Policy Iteration-gqv7o1kBDc0.en.vtt 2.08 KB
  17. Policy Iteration-gqv7o1kBDc0.mp4 8.14 MB
  17. Policy Iteration-gqv7o1kBDc0.pt-BR.vtt 2.37 KB
  17. Policy Iteration-gqv7o1kBDc0.zh-CN.vtt 1.75 KB
  17. Policy Iteration.html 7.36 KB
  18. Implementation.html 8.26 KB
  19. Mini Project DP (Part 4).html 7.79 KB
  20. Truncated Policy Iteration-a-RvCxlPMho.en.vtt 3.39 KB
  20. Truncated Policy Iteration-a-RvCxlPMho.mp4 14.13 MB
  20. Truncated Policy Iteration-a-RvCxlPMho.pt-BR.vtt 3.74 KB
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  20. Truncated Policy Iteration.html 7.43 KB
  21. Implementation.html 9.86 KB
  22. Mini Project DP (Part 5).html 7.79 KB
  23. Value Iteration-XNeQn8N36y8.en.vtt 4.18 KB
  23. Value Iteration-XNeQn8N36y8.mp4 15.65 MB
  23. Value Iteration-XNeQn8N36y8.pt-BR.vtt 4.47 KB
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  23. Value Iteration.html 7.35 KB
  24. Implementation.html 10.11 KB
  25. Mini Project DP (Part 6).html 7.79 KB
  26. Check Your Understanding.html 10.61 KB
  27. Summary.html 13.88 KB
  img
  actionvalue.png 628.42 KB
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  screen-shot-2017-09-26-at-11.03.16-pm.png 259.66 KB
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  index.html 5.54 KB
  Part 06-Module 01-Lesson 01_Neural Networks
  01. Introducing Luis.html 6.89 KB
  02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.38 KB
  02. Why Neural Networks-zAkzOZntK6Y.mp4 982.27 KB
  02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.27 KB
  02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt 1.18 KB
  02. Why Neural Networks.html 6.48 KB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.02 KB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.83 MB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt 3.34 KB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt 2.76 KB
  03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.29 KB
  03. Combinando modelos-Boy3zHVrWB4.mp4 4.73 MB
  03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt 5.29 KB
  03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt 4.61 KB
  03. Layers-pg99FkXYK0M.en.vtt 3.4 KB
  03. Layers-pg99FkXYK0M.mp4 3.11 MB
  03. Layers-pg99FkXYK0M.pt-BR.vtt 3.29 KB
  03. Layers-pg99FkXYK0M.zh-CN.vtt 3.04 KB
  03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.08 KB
  03. Multiclass Classification-uNTtvxwfox0.mp4 1.88 MB
  03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt 2.12 KB
  03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt 1.82 KB
  03. Neural Network Architecture.html 11.1 KB
  04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.17 KB
  04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.33 MB
  04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt 6.76 KB
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  04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt 1.97 KB
  04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.72 MB
  04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt 2.12 KB
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  04. Feedforward.html 7.73 KB
  05. Backpropagation V2-1SmY3TZTyUk.en.vtt 7.21 KB
  05. Backpropagation V2-1SmY3TZTyUk.mp4 6.52 MB
  05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt 7.17 KB
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  05. Backpropagation.html 10.55 KB
  05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt 3.41 KB
  05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.31 MB
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  05. Chain Rule-YAhIBOnbt54.en.vtt 1.65 KB
  05. Chain Rule-YAhIBOnbt54.mp4 1.46 MB
  05. Chain Rule-YAhIBOnbt54.pt-BR.vtt 1.73 KB
  05. Chain Rule-YAhIBOnbt54.zh-CN.vtt 1.42 KB
  05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt 6.16 KB
  05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.69 MB
  05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt 6.5 KB
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  06. Training Optimization-UiGKhx9pUYc.en.vtt 824 B
  06. Training Optimization-UiGKhx9pUYc.mp4 2.96 MB
  06. Training Optimization-UiGKhx9pUYc.pt-BR.vtt 874 B
  06. Training Optimization-UiGKhx9pUYc.zh-CN.vtt 840 B
  06. Training Optimization.html 6.48 KB
  07. Testing-EeBZpb-PSac.en.vtt 2.41 KB
  07. Testing-EeBZpb-PSac.mp4 2 MB
  07. Testing-EeBZpb-PSac.pt-BR.vtt 2.37 KB
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  07. Testing.html 6.38 KB
  08. Overfitting and Underfitting.html 6.53 KB
  08. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt 7.49 KB
  08. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.42 MB
  08. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt 8.15 KB
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  09. Early Stopping.html 6.47 KB
  09. Model Complexity Graph-NnS0FJyVcDQ.en.vtt 5.32 KB
  09. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
  09. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt 5.52 KB
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  10. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.15 KB
  10. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.01 MB
  10. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt 1.16 KB
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  10. Regularization.html 7.5 KB
  11. Regularization 2.html 6.43 KB
  11. Regularization-ndYnUrx8xvs.en.vtt 8.07 KB
  11. Regularization-ndYnUrx8xvs.mp4 7.57 MB
  11. Regularization-ndYnUrx8xvs.pt-BR.vtt 8.78 KB
  11. Regularization-ndYnUrx8xvs.zh-CN.vtt 6.96 KB
  12. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
  12. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
  12. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.66 KB
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  12. Dropout.html 6.38 KB
  13. Local Minima-gF_sW_nY-xw.en.vtt 1.14 KB
  13. Local Minima-gF_sW_nY-xw.mp4 819.86 KB
  13. Local Minima-gF_sW_nY-xw.pt-BR.vtt 1.05 KB
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  13. Local Minima.html 6.42 KB
  14. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.46 KB
  14. Vanishing Gradient-W_JJm_5syFw.mp4 1.32 MB
  14. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt 1.56 KB
  14. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt 1.24 KB
  14. Vanishing Gradient.html 6.46 KB
  15. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.68 KB
  15. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
  15. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt 2.55 KB
  15. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt 2.34 KB
  15. Other Activation Functions.html 6.81 KB
  16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.64 KB
  16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 3.95 MB
  16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt 4.63 KB
  16. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt 4.1 KB
  16. Batch vs Stochastic Gradient Descent.html 6.58 KB
  17. Learning Rate Decay.html 6.43 KB
  17. Learning Rate-TwJ8aSZoh2U.en.vtt 1.12 KB
  17. Learning Rate-TwJ8aSZoh2U.mp4 927.05 KB
  17. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt 1.26 KB
  17. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt 1020 B
  18. Random Restart-idyBBCzXiqg.en.vtt 466 B
  18. Random Restart-idyBBCzXiqg.mp4 394.99 KB
  18. Random Restart-idyBBCzXiqg.pt-BR.vtt 478 B
  18. Random Restart-idyBBCzXiqg.zh-CN.vtt 419 B
  18. Random Restart.html 6.43 KB
  19. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
  19. Momentum-r-rYz_PEWC8.mp4 2.14 MB
  19. Momentum-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
  19. Momentum-r-rYz_PEWC8.zh-CN.vtt 2.21 KB
  19. Momentum.html 6.39 KB
  img
  luis-circle.png 1.04 MB
  regularization-quiz.png 87.9 KB
  sigmoid-derivative.gif 2.09 KB
  index.html 4.81 KB
  Part 06-Module 01-Lesson 02_Convolutional Neural Networks
  01. Introducing Cezanne.html 8.13 KB
  02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.75 KB
  02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.03 MB
  02. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.53 KB
  02. Lesson Outline and Data.html 9.65 KB
  03. CNN Architecture, VGG-16.html 10.47 KB
  04. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 9.92 KB
  04. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.85 MB
  04. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.59 KB
  04. Convolutional Layers.html 7.59 KB
  05. Defining Layers in PyTorch.html 10.79 KB
  06. Notebook Visualizing a Convolutional Layer.html 8.12 KB
  07. Pooling, VGG-16 Architecture.html 8.93 KB
  08. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.4 KB
  08. Pooling Layers-OkkIZNs7Cyc.mp4 5.82 MB
  08. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.81 KB
  08. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.64 KB
  08. Pooling Layers.html 7.9 KB
  09. Notebook Visualizing a Pooling Layer.html 8.1 KB
  10. Fully-Connected Layers, VGG-16.html 10.7 KB
  11. Notebook Visualizing FashionMNIST.html 8.1 KB
  12. Training in PyTorch.html 10.02 KB
  13. Notebook Fashion MNIST Training Exercise.html 8.11 KB
  14. Notebook FashionMNIST, Solution 1.html 8.1 KB
  15. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
  15. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
  15. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.66 KB
  15. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.06 KB
  15. Review Dropout.html 10.36 KB
  15. 动量-r-rYz_PEWC8.en.vtt 2.5 KB
  15. 动量-r-rYz_PEWC8.mp4 2.14 MB
  15. 动量-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
  15. 动量-r-rYz_PEWC8.zh-CN.vtt 2.21 KB
  16. Notebook FashionMNIST, Solution 2.html 8.1 KB
  17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 2.91 KB
  17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.54 MB
  17. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.47 KB
  17. Feature Visualization.html 7.62 KB
  18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 KB
  18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 2.84 MB
  18. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.75 KB
  18. Feature Maps.html 7.56 KB
  19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.4 KB
  19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.51 MB
  19. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.01 KB
  19. First Convolutional Layer.html 7.66 KB
  20. Visualizing CNNs (Part 2).html 14.47 KB
  21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.43 KB
  21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.35 MB
  21. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.26 KB
  21. Visualizing Activations.html 8.02 KB
  22. Notebook Feature Viz for FashionMNIST.html 8.11 KB
  23. Notebook Visualize Your Net Layers.html 8.1 KB
  24. Last Feature Vector and t-SNE.html 14.88 KB
  25. Occlusion, Saliency, and Guided Backpropagation.html 12.39 KB
  26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 KB
  26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
  26. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.48 KB
  26. Summary of Feature Viz.html 11.67 KB
  img
  alexis.jpg?042148 313.46 KB
  cezanne-circle.png 411.21 KB
  diagonal-line-1.png 5.76 KB
  diagonal-line-2.png 6.62 KB
  embedding.gif 8.74 MB
  grid-layer-1.png 35.3 KB
  layer-1-grid.png 45.73 KB
  screen-shot-2016-11-24-at-12.08.11-pm.png 2.9 MB
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  screen-shot-2018-04-06-at-4.54.39-pm.png 494.36 KB
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  screen-shot-2018-04-24-at-4.49.51-pm.png 176.53 KB
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  screen-shot-2018-04-24-at-5.08.36-pm.png 720.21 KB
  screen-shot-2018-04-24-at-5.47.43-pm.png 81.13 KB
  t-sne-mnist.png 1.32 MB
  vgg-16.png 172.87 KB
  index.html 5.86 KB
  Part 06-Module 01-Lesson 03_Deep Learning with PyTorch
  01. Introducing Mat.html 6 KB
  02. Introducing PyTorch.html 7.25 KB
  03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.47 KB
  03. Part 1 V2-n4mbZYIfKb4.mp4 13.81 MB
  03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt 9.38 KB
  03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt 8.57 KB
  03. PyTorch Tensors.html 6.56 KB
  04. Defining Networks.html 6.58 KB
  04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 22.87 KB
  04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.58 MB
  04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt 22.06 KB
  04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt 18.59 KB
  05. Py Part 3 V2-u8hDj5aJK6I.en.vtt 17.71 KB
  05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.37 MB
  05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt 16.67 KB
  05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt 14.56 KB
  05. Training Networks.html 6.58 KB
  06. Fashion-MNIST Exercise.html 6.61 KB
  06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt 2.26 KB
  06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.32 MB
  06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt 2.19 KB
  06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt 1.91 KB
  07. Inference Validation.html 6.59 KB
  07. Py Part 5 V2-coBbbrGZXI0.en.vtt 17.41 KB
  07. Py Part 5 V2-coBbbrGZXI0.mp4 27.08 MB
  07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt 17.58 KB
  07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt 13.89 KB
  08. Py Part 6 V1-HiTih59dCWQ.en.vtt 7.76 KB
  08. Py Part 6 V1-HiTih59dCWQ.mp4 15.94 MB
  08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt 7.95 KB
  08. Saving and Loading Trained Networks.html 6.5 KB
  09. Loading Data Sets with Torchvision.html 6.63 KB
  09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.67 KB
  09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.62 MB
  09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt 10.86 KB
  09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt 8.56 KB
  10. Py Part 8 V1-3eqn5sgCOsY.en.vtt 12.79 KB
  10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.88 MB
  10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt 13.51 KB
  10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt 10.69 KB
  10. Transfer Learning.html 6.58 KB
  img
  mat-leonard-circle.png 384.91 KB
  index.html 4.24 KB
  Part 07-Module 01-Lesson 01_Cloud Computing
  01. Overview.html 5.7 KB
  02. Create an AWS Account.html 5.89 KB
  03. Get Access to GPU Instances.html 8.57 KB
  04. Apply Credits.html 6.66 KB
  05. Launch an Instance.html 12.53 KB
  06. Login to the Instance.html 6.91 KB
  07. Test the Instance.html 7.12 KB
  img
  aws-add-sec-group.png 41.71 KB
  aws-create-account.png 13.5 KB
  aws-inst-stats.png 24.34 KB
  edit-security-group.png 12.76 KB
  launch-instance.png 22.52 KB
  launch.png 8.9 KB
  p2-limit-increase.png 188.22 KB
  p2xlarge-limit-request.png 129.66 KB
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  screen-shot-2017-06-13-at-12.58.03-pm.png 196.32 KB
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  screen-shot-2018-01-08-at-5.38.03-am.png 276.13 KB
  stop.png 47.54 KB
  ud272-l2-16-10-aws-account.png 241.52 KB
  index.html 3.92 KB
  Part 07-Module 01-Lesson 02_Udacity Workspaces
  01. Overview.html 5.28 KB
  02. Introduction to Workspaces.html 11.79 KB
  03. Workspaces Best Practices.html 9.16 KB
  img
  jupyter-logo.png 5.78 KB
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  index.html 3.64 KB
  Part 08-Module 01-Lesson 01_C++ Getting Started
  01. Introduction-ahoiVrq4qAk.en.vtt 1.6 KB
  01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
  01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.44 KB
  01. Introduction.html 6.67 KB
  02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
  02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
  02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.67 KB
  02. Lesson Overview.html 8.98 KB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.46 KB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 KB
  03. Elecia White.html 7.77 KB
  04. Why C++-_t4ZvwfnuCA.en.vtt 2.67 KB
  04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
  04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.41 KB
  04. Why C++.html 6.64 KB
  05. Python and C++ Comparison.html 12.6 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.74 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.51 KB
  06. Static vs Dynamic Typing.html 6.74 KB
  07. C++ - A Statically Typed Language.html 11.06 KB
  08. Basic Data Types.html 10.24 KB
  09. Floating versus Double [demonstration].html 11.6 KB
  10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.36 KB
  10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
  10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 KB
  10. Doubles are Bigger.html 6.7 KB
  11. Common Errors and Error Messages.html 14.41 KB
  12. C++ Functions.html 10.05 KB
  13. Anatomy of a Function.html 12.85 KB
  14. Multiple Outputs.html 8.13 KB
  15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.52 KB
  15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
  15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.37 KB
  15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.85 KB
  15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
  15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.65 KB
  15. Two Functions Same Name.html 9.22 KB
  16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.6 KB
  16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
  16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.44 KB
  16. Function Signatures 1.html 8.03 KB
  17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.56 KB
  17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
  17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt 1.4 KB
  17. Function Signatures 2.html 7.65 KB
  17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 B
  17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.2 MB
  17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 515 B
  18. If and Boolean Logic.html 17.37 KB
  19. While and For Loops.html 12.13 KB
  20. Switch Statement.html 13.37 KB
  21. Libraries.html 12.62 KB
  22. Forge on!.html 6.73 KB
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  Part 08-Module 01-Lesson 02_C++ Vectors
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  02. Namespaces.html 11.31 KB
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  04. Initializing Vector Values.html 8.92 KB
  05. Vector Methods.html 6.93 KB
  06. Vectors and For Loops.html 11.48 KB
  07. Math and Vectors.html 8.39 KB
  08. 1D Vector Playground.html 11.01 KB
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  02. Running Code Locally.html 12.56 KB
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  06. Reading in Text Files.html 12.58 KB
  07. Outputting to Text Files.html 7.79 KB
  08. Exercises.html 7.79 KB
  index.html 4.05 KB
  Part 08-Module 01-Lesson 04_C++ Object Oriented Programming
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  02. Python vs. C++.html 13.87 KB
  03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.16 KB
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  17. Matrix Functions.html 17.25 KB
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  20. Running your Program Locally.html 7.1 KB
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  Part 08-Module 02-Lesson 01_C++ Intro to Optimization
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  01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.16 KB
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  02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.34 KB
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  03. Intro to Computer Hardware.html 10.22 KB
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  04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.36 KB
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  05. Demo Machine Code.html 6.18 KB
  06. Assembly Language.html 7 KB
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  08. Demo Binary.html 6.17 KB
  09. Demo Binary Floats.html 6.18 KB
  10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.03 KB
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  10. Memory and the CPU.html 14.25 KB
  11. Demo Stack vs Heap.html 6.18 KB
  12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.34 KB
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  Part 08-Module 02-Lesson 02_C++ Optimization Practice
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  02. Software Development and Optimization.html 12.59 KB
  03. Optimization Techniques.html 12.95 KB
  04. Dead Code.html 10.58 KB
  05. Exercise Remove Dead Code.html 6.98 KB
  06. If Statements.html 9.38 KB
  07. Exercise If Statements.html 6.97 KB
  08. For Loops.html 7.84 KB
  09. Exercise For Loops.html 6.96 KB
  10. Intermediate Variables.html 8.32 KB
  11. Exercise Intermediate Variables.html 6.99 KB
  12. Vector Storage.html 8.44 KB
  13. Exercise Vector Storage.html 6.97 KB
  14. References.html 9.98 KB
  15. Exercise References.html 6.96 KB
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  17. Static Keyword.html 9.33 KB
  18. Exercise Static Keyword.html 6.97 KB
  19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt 770 B
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  ReadMe.txt 428 B
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Udacity - Deep Reinforcement Learning Nanodegree Download
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