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Please note that this page does not hosts or makes available any of the listed filenames. You
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| [Tutorialsplanet.NET].url |
128B |
| [Tutorialsplanet.NET].url |
128B |
| [Tutorialsplanet.NET].url |
128B |
| 1. (Review) Theano Basics.mp4 |
78.08MB |
| 1. (Review) Theano Basics.srt |
7.28KB |
| 1. A3C - Theory and Outline.mp4 |
71.76MB |
| 1. A3C - Theory and Outline.srt |
20.25KB |
| 1. Anaconda Environment Setup.mp4 |
186.17MB |
| 1. Anaconda Environment Setup.srt |
20.10KB |
| 1. Deep Q-Learning Intro.mp4 |
5.90MB |
| 1. Deep Q-Learning Intro.srt |
4.84KB |
| 1. How to Code by Yourself (part 1).mp4 |
24.53MB |
| 1. How to Code by Yourself (part 1).srt |
22.75KB |
| 1. How to Succeed in this Course (Long Version).mp4 |
18.32MB |
| 1. How to Succeed in this Course (Long Version).srt |
14.55KB |
| 1. Introduction and Outline.mp4 |
50.49MB |
| 1. Introduction and Outline.srt |
11.29KB |
| 1. N-Step Methods.mp4 |
15.56MB |
| 1. N-Step Methods.srt |
3.80KB |
| 1. OpenAI Gym Tutorial.mp4 |
8.67MB |
| 1. OpenAI Gym Tutorial.srt |
7.68KB |
| 1. Policy Gradient Methods.mp4 |
17.94MB |
| 1. Policy Gradient Methods.srt |
14.85KB |
| 1. Reinforcement Learning Section Introduction.mp4 |
40.97MB |
| 1. Reinforcement Learning Section Introduction.srt |
8.82KB |
| 1. What is the Appendix.mp4 |
5.45MB |
| 1. What is the Appendix.srt |
3.72KB |
| 10. Deep Q-Learning Section Summary.mp4 |
10.40MB |
| 10. Deep Q-Learning Section Summary.srt |
6.02KB |
| 10. Epsilon-Greedy.mp4 |
40.16MB |
| 10. Epsilon-Greedy.srt |
7.49KB |
| 10. Policy Gradient Section Summary.mp4 |
3.33MB |
| 10. Policy Gradient Section Summary.srt |
1.86KB |
| 10. Theano Warmup.mp4 |
5.83MB |
| 10. Theano Warmup.srt |
3.49KB |
| 11. Q-Learning.mp4 |
67.09MB |
| 11. Q-Learning.srt |
18.96KB |
| 11. Tensorflow Warmup.mp4 |
5.06MB |
| 11. Tensorflow Warmup.srt |
2.47KB |
| 12. How to Learn Reinforcement Learning.mp4 |
40.56MB |
| 12. How to Learn Reinforcement Learning.srt |
7.85KB |
| 12. Plugging in a Neural Network.mp4 |
5.91MB |
| 12. Plugging in a Neural Network.srt |
4.83KB |
| 13. OpenAI Gym Section Summary.mp4 |
5.31MB |
| 13. OpenAI Gym Section Summary.srt |
4.16KB |
| 13. Suggestion Box.mp4 |
16.14MB |
| 13. Suggestion Box.srt |
4.70KB |
| 2. (Review) Theano Neural Network in Code.mp4 |
67.75MB |
| 2. (Review) Theano Neural Network in Code.srt |
3.87KB |
| 2.1 Github Link.html |
120B |
| 2. A3C - Code pt 1 (Warmup).mp4 |
50.09MB |
| 2. A3C - Code pt 1 (Warmup).srt |
7.79KB |
| 2. BONUS.mp4 |
37.85MB |
| 2. BONUS.srt |
7.87KB |
| 2. Deep Q-Learning Techniques.mp4 |
14.44MB |
| 2. Deep Q-Learning Techniques.srt |
12.27KB |
| 2. Elements of a Reinforcement Learning Problem.mp4 |
105.24MB |
| 2. Elements of a Reinforcement Learning Problem.srt |
27.14KB |
| 2. How to Code by Yourself (part 2).mp4 |
14.81MB |
| 2. How to Code by Yourself (part 2).srt |
13.26KB |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92MB |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
14.48KB |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
0B |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
0B |
| 2. N-Step in Code.mp4 |
9.47MB |
| 2. N-Step in Code.srt |
4.23KB |
| 2. Policy Gradient in TensorFlow for CartPole.mp4 |
17.97MB |
| 2. Policy Gradient in TensorFlow for CartPole.srt |
8.67KB |
| 2. Random Search.mp4 |
10.29MB |
| 2. Random Search.srt |
6.86KB |
| 2. Where to get the Code.mp4 |
51.63MB |
| 2. Where to get the Code.srt |
13.17KB |
| 3. (Review) Tensorflow Basics.mp4 |
63.38MB |
| 3. (Review) Tensorflow Basics.srt |
5.96KB |
| 3. A3C - Code pt 2.mp4 |
57.61MB |
| 3. A3C - Code pt 2.srt |
8.31KB |
| 3. Deep Q-Learning in Tensorflow for CartPole.mp4 |
14.98MB |
| 3. Deep Q-Learning in Tensorflow for CartPole.srt |
5.83KB |
| 3. How to Succeed in this Course.mp4 |
43.81MB |
| 3. How to Succeed in this Course.srt |
8.28KB |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
29.33MB |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt |
16.03KB |
| 3. Policy Gradient in Theano for CartPole.mp4 |
13.44MB |
| 3. Policy Gradient in Theano for CartPole.srt |
4.51KB |
| 3. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.25MB |
| 3. Proof that using Jupyter Notebook is the same as not using it.srt |
14.12KB |
| 3. Saving a Video.mp4 |
4.54MB |
| 3. Saving a Video.srt |
2.37KB |
| 3. States, Actions, Rewards, Policies.mp4 |
44.52MB |
| 3. States, Actions, Rewards, Policies.srt |
11.72KB |
| 3. TD Lambda.mp4 |
11.78MB |
| 3. TD Lambda.srt |
9.35KB |
| 4. (Review) Tensorflow Neural Network in Code.mp4 |
78.44MB |
| 4. (Review) Tensorflow Neural Network in Code.srt |
5.98KB |
| 4. A3C - Code pt 3.mp4 |
84.52MB |
| 4. A3C - Code pt 3.srt |
8.96KB |
| 4. CartPole with Bins (Theory).mp4 |
6.03MB |
| 4. CartPole with Bins (Theory).srt |
5.22KB |
| 4. Continuous Action Spaces.mp4 |
6.58MB |
| 4. Continuous Action Spaces.srt |
5.30KB |
| 4. Deep Q-Learning in Theano for CartPole.mp4 |
13.77MB |
| 4. Deep Q-Learning in Theano for CartPole.srt |
5.42KB |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
37.63MB |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt |
23.04KB |
| 4. Markov Decision Processes (MDPs).mp4 |
50.87MB |
| 4. Markov Decision Processes (MDPs).srt |
13.32KB |
| 4. Python 2 vs Python 3.mp4 |
7.84MB |
| 4. Python 2 vs Python 3.srt |
6.10KB |
| 4. TD Lambda in Code.mp4 |
7.62MB |
| 4. TD Lambda in Code.srt |
3.35KB |
| 4. Tensorflow or Theano - Your Choice!.mp4 |
18.93MB |
| 4. Tensorflow or Theano - Your Choice!.srt |
5.40KB |
| 5. A3C - Code pt 4.mp4 |
184.34MB |
| 5. A3C - Code pt 4.srt |
21.21KB |
| 5. Additional Implementation Details for Atari.mp4 |
8.51MB |
| 5. Additional Implementation Details for Atari.srt |
6.97KB |
| 5. CartPole with Bins (Code).mp4 |
14.70MB |
| 5. CartPole with Bins (Code).srt |
7.99KB |
| 5. Is Theano Dead.mp4 |
17.81MB |
| 5. Is Theano Dead.srt |
12.92KB |
| 5. Mountain Car Continuous Specifics.mp4 |
6.50MB |
| 5. Mountain Car Continuous Specifics.srt |
5.01KB |
| 5. TD Lambda Summary.mp4 |
3.65MB |
| 5. TD Lambda Summary.srt |
2.97KB |
| 5. The Return.mp4 |
23.77MB |
| 5. The Return.srt |
6.66KB |
| 6. A3C - Section Summary.mp4 |
8.86MB |
| 6. A3C - Section Summary.srt |
2.65KB |
| 6. Mountain Car Continuous Theano.mp4 |
19.06MB |
| 6. Mountain Car Continuous Theano.srt |
9.87KB |
| 6. Pseudocode and Replay Memory.mp4 |
27.81MB |
| 6. Pseudocode and Replay Memory.srt |
7.81KB |
| 6. RBF Neural Networks.mp4 |
16.51MB |
| 6. RBF Neural Networks.srt |
14.64KB |
| 6. Value Functions and the Bellman Equation.mp4 |
48.15MB |
| 6. Value Functions and the Bellman Equation.srt |
12.85KB |
| 7. Course Summary.mp4 |
9.45MB |
| 7. Course Summary.srt |
6.02KB |
| 7. Deep Q-Learning in Tensorflow for Breakout.mp4 |
234.61MB |
| 7. Deep Q-Learning in Tensorflow for Breakout.srt |
28.16KB |
| 7. Mountain Car Continuous Tensorflow.mp4 |
20.09MB |
| 7. Mountain Car Continuous Tensorflow.srt |
10.30KB |
| 7. RBF Networks with Mountain Car (Code).mp4 |
13.76MB |
| 7. RBF Networks with Mountain Car (Code).srt |
6.41KB |
| 7. What does it mean to “learn”.mp4 |
31.83MB |
| 7. What does it mean to “learn”.srt |
8.91KB |
| 8. Deep Q-Learning in Theano for Breakout.mp4 |
233.70MB |
| 8. Deep Q-Learning in Theano for Breakout.srt |
28.10KB |
| 8. Mountain Car Continuous Tensorflow (v2).mp4 |
18.78MB |
| 8. Mountain Car Continuous Tensorflow (v2).srt |
7.06KB |
| 8. RBF Networks with CartPole (Theory).mp4 |
3.05MB |
| 8. RBF Networks with CartPole (Theory).srt |
2.45KB |
| 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 |
42.89MB |
| 8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt |
12.41KB |
| 9. Mountain Car Continuous Theano (v2).mp4 |
22.20MB |
| 9. Mountain Car Continuous Theano (v2).srt |
8.34KB |
| 9. Partially Observable MDPs.mp4 |
7.60MB |
| 9. Partially Observable MDPs.srt |
5.76KB |
| 9. RBF Networks with CartPole (Code).mp4 |
8.91MB |
| 9. RBF Networks with CartPole (Code).srt |
3.62KB |
| 9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 |
57.31MB |
| 9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt |
15.55KB |