| 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 |