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