[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

文件大小:2.96 GB
创建日期:2026-06-01
相关链接:FreeCourseSiteUdemyAdvancedDeepReinforcementLearningPython

文件列表162

  •  6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4  234.61 MB
  •  6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4  233.69 MB
  •  9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4  186.16 MB
  •  7. A3C/5. A3C - Code pt 4.mp4  184.35 MB
  •  2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4  105.25 MB
  •  8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4  97.3 MB
  •  8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4  93.4 MB
  •  8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4  87 MB
  •  7. A3C/4. A3C - Code pt 3.mp4  84.52 MB
  •  8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4  81.43 MB
  •  10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4  78.25 MB
  •  1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4  77.87 MB
  •  7. A3C/1. A3C - Theory and Outline.mp4  71.77 MB
  •  2. The Basics of Reinforcement Learning/11. Q-Learning.mp4  67.09 MB
  •  7. A3C/3. A3C - Code pt 2.mp4  57.6 MB
  •  2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4  57.32 MB
  •  2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4  50.87 MB
  •  1. Introduction and Logistics/1. Introduction and Outline.mp4  50.49 MB
  •  7. A3C/2. A3C - Code pt 1 (Warmup).mp4  50.1 MB
  •  2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4  48.15 MB
  •  2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4  44.52 MB
  •  9. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4  43.92 MB
  •  2. The Basics of Reinforcement Learning/8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4  42.88 MB
  •  2. The Basics of Reinforcement Learning/10. Epsilon-Greedy.mp4  41.83 MB
  •  2. The Basics of Reinforcement Learning/1. Reinforcement Learning Section Introduction.mp4  40.98 MB
  •  2. The Basics of Reinforcement Learning/12. How to Learn Reinforcement Learning.mp4  40.56 MB
  •  11. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4  38.96 MB
  •  12. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4  37.85 MB
  •  11. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4  37.63 MB
  •  2. The Basics of Reinforcement Learning/7. What does it mean to “learn”.mp4  32.88 MB
  •  1. Introduction and Logistics/2. Where to get the Code.mp4  30.42 MB
  •  11. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4  29.33 MB
  •  6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4  27.81 MB
  •  10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4  24.53 MB
  •  2. The Basics of Reinforcement Learning/5. The Return.mp4  23.77 MB
  •  5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4  22.2 MB
  •  5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4  20.09 MB
  •  5. Policy Gradients/6. Mountain Car Continuous Theano.mp4  19.06 MB
  •  1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4  18.93 MB
  •  5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).mp4  18.78 MB
  •  11. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/1. How to Succeed in this Course (Long Version).mp4  18.32 MB
  •  5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.mp4  17.97 MB
  •  5. Policy Gradients/1. Policy Gradient Methods.mp4  17.94 MB
  •  10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/5. Is Theano Dead.mp4  17.82 MB
  •  3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.mp4  16.51 MB
  •  2. The Basics of Reinforcement Learning/13. Suggestion Box.mp4  16.13 MB
  •  4. TD Lambda/1. N-Step Methods.mp4  15.56 MB
  •  6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.mp4  14.98 MB
  •  10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4  14.81 MB
  •  3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).mp4  14.71 MB