Udemy - Advanced AI: Deep Reinforcement Learning in Python [Desire Course]

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Udemy - Advanced AI: Deep Reinforcement Learning in Python [Desire Course]

Torrent Contents Size: 2.3 GB

Udemy - Advanced AI: Deep Reinforcement Learning in Python [Desire Course]
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1. (Review) Theano Basics.mp4
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93.4 MB
1. (Review) Theano Basics.srt
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7.2 KB
1. A3C - Theory and Outline.mp4
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71.8 MB
1. A3C - Theory and Outline.srt
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20.3 KB
1. Deep Q-Learning Intro.mp4
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5.9 MB
1. Deep Q-Learning Intro.srt
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4.8 KB
1. Introduction and Outline.mp4
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15.8 MB
1. Introduction and Outline.srt
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14.5 KB
1. N-Step Methods.mp4
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5 MB
1. N-Step Methods.srt
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3.8 KB
1. OpenAI Gym Tutorial.mp4
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8.7 MB
1. OpenAI Gym Tutorial.srt
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7.7 KB
1. Policy Gradient Methods.mp4
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17.9 MB
1. Policy Gradient Methods.srt
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14.8 KB
1. Review Intro.mp4
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4.2 MB
1. Review Intro.srt
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3.5 KB
1. What is the Appendix.mp4
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5.5 MB
1. What is the Appendix.srt
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3.7 KB
10. Deep Q-Learning Section Summary.mp4
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10.4 MB
10. Deep Q-Learning Section Summary.srt
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6 KB
10. Is Theano Dead.mp4
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17.8 MB
10. Is Theano Dead.srt
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10. Policy Gradient Section Summary.mp4
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3.3 MB
10. Policy Gradient Section Summary.srt
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10. Theano Warmup.mp4
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5.8 MB
10. Theano Warmup.srt
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3.5 KB
11. Tensorflow Warmup.mp4
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5.1 MB
11. Tensorflow Warmup.srt
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2.5 KB
11. What order should I take your courses in (part 1).mp4
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29.3 MB
11. What order should I take your courses in (part 1).srt
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12. Plugging in a Neural Network.mp4
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5.9 MB
12. Plugging in a Neural Network.srt
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12. What order should I take your courses in (part 2).mp4
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37.6 MB
12. What order should I take your courses in (part 2).srt
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23 KB
13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
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37.8 MB
13. BONUS Where to get Udemy coupons and FREE deep learning material.srt
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7.9 KB
13. OpenAI Gym Section Summary.mp4
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5.3 MB
13. OpenAI Gym Section Summary.srt
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4.2 KB
2. (Review) Theano Neural Network in Code.mp4
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87 MB
2. (Review) Theano Neural Network in Code.srt
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3.8 KB
2. A3C - Code pt 1 (Warmup).mp4
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50.1 MB
2. A3C - Code pt 1 (Warmup).srt
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7.8 KB
2. Deep Q-Learning Techniques.mp4
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14.4 MB
2. Deep Q-Learning Techniques.srt
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12.3 KB
2. N-Step in Code.mp4
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9.5 MB
2. N-Step in Code.srt
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4.2 KB
2. Policy Gradient in TensorFlow for CartPole.mp4
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18 MB
2. Policy Gradient in TensorFlow for CartPole.srt
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8.7 KB
2. Random Search.mp4
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10.3 MB
2. Random Search.srt
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6.9 KB
2. Review of Markov Decision Processes.mp4
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12.3 MB
2. Review of Markov Decision Processes.srt
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10.1 KB
2. Where to get the Code.mp4
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5.2 MB
2. Where to get the Code.srt
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4.6 KB
2. Windows-Focused Environment Setup 2018.mp4
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186.2 MB
2. Windows-Focused Environment Setup 2018.srt
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20.1 KB
3. (Review) Tensorflow Basics.mp4
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81.4 MB
3. (Review) Tensorflow Basics.srt
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5.9 KB
3. A3C - Code pt 2.mp4
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57.6 MB
3. A3C - Code pt 2.srt
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8.3 KB
3. Deep Q-Learning in Tensorflow for CartPole.mp4
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15 MB
3. Deep Q-Learning in Tensorflow for CartPole.srt
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5.8 KB
3. How to Succeed in this Course.mp4
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3.3 MB
3. How to Succeed in this Course.srt
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3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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43.9 MB
3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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3. Policy Gradient in Theano for CartPole.mp4
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13.4 MB
3. Policy Gradient in Theano for CartPole.srt
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4.5 KB
3. Review of Dynamic Programming.mp4
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6.5 MB
3. Review of Dynamic Programming.srt
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5.3 KB
3. Saving a Video.mp4
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4.5 MB
3. Saving a Video.srt
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3. TD Lambda.mp4
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11.8 MB
3. TD Lambda.srt
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9.3 KB
4. (Review) Tensorflow Neural Network in Code.mp4
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97.3 MB
4. (Review) Tensorflow Neural Network in Code.srt
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5.5 KB
4. A3C - Code pt 3.mp4
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84.5 MB
4. A3C - Code pt 3.srt
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9 KB
4. CartPole with Bins (Theory).mp4
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6 MB
4. CartPole with Bins (Theory).srt
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4. Continuous Action Spaces.mp4
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6.6 MB
4. Continuous Action Spaces.srt
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4. Deep Q-Learning in Theano for CartPole.mp4
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13.8 MB
4. Deep Q-Learning in Theano for CartPole.srt
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5.4 KB
4. How to Code by Yourself (part 1).mp4
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24.5 MB
4. How to Code by Yourself (part 1).srt
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22.8 KB
4. Review of Monte Carlo Methods.mp4
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6.2 MB
4. Review of Monte Carlo Methods.srt
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5 KB
4. TD Lambda in Code.mp4
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7.6 MB
4. TD Lambda in Code.srt
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4. Tensorflow or Theano - Your Choice!.mp4
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18.9 MB
4. Tensorflow or Theano - Your Choice!.srt
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5. A3C - Code pt 4.mp4
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184.3 MB
5. A3C - Code pt 4.srt
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5. Additional Implementation Details for Atari.mp4
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8.5 MB
5. Additional Implementation Details for Atari.srt
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5. CartPole with Bins (Code).mp4
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14.7 MB
5. CartPole with Bins (Code).srt
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5. How to Code by Yourself (part 2).mp4
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14.8 MB
5. How to Code by Yourself (part 2).srt
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5. Mountain Car Continuous Specifics.mp4
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6.5 MB
5. Mountain Car Continuous Specifics.srt
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5 KB
5. Review of Temporal Difference Learning.mp4
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18.5 MB
5. Review of Temporal Difference Learning.srt
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5. TD Lambda Summary.mp4
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3.6 MB
5. TD Lambda Summary.srt
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6. A3C - Section Summary.mp4
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8.9 MB
6. A3C - Section Summary.srt
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2.6 KB
6. How to Succeed in this Course (Long Version).mp4
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18.3 MB
6. How to Succeed in this Course (Long Version).srt
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14.5 KB
6. Mountain Car Continuous Theano.mp4
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19.1 MB
6. Mountain Car Continuous Theano.srt
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6. Pseudocode and Replay Memory.mp4
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27.8 MB
6. Pseudocode and Replay Memory.srt
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6. RBF Neural Networks.mp4
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16.5 MB
6. RBF Neural Networks.srt
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14.6 KB
6. Review of Approximation Methods for Reinforcement Learning.mp4
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3.7 MB
6. Review of Approximation Methods for Reinforcement Learning.srt
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2.8 KB
7. Course Summary.mp4
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9.4 MB
7. Course Summary.srt
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6 KB
7. Deep Q-Learning in Tensorflow for Breakout.mp4
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234.6 MB
7. Deep Q-Learning in Tensorflow for Breakout.srt
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28.2 KB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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39 MB
7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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31.8 KB
7. Mountain Car Continuous Tensorflow.mp4
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20.1 MB
7. Mountain Car Continuous Tensorflow.srt
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10.3 KB
7. RBF Networks with Mountain Car (Code).mp4
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13.8 MB
7. RBF Networks with Mountain Car (Code).srt
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7. Review of Deep Learning.mp4
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11 MB
7. Review of Deep Learning.srt
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8. Deep Q-Learning in Theano for Breakout.mp4
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233.7 MB
8. Deep Q-Learning in Theano for Breakout.srt
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28.1 KB
8. Mountain Car Continuous Tensorflow (v2).mp4
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18.8 MB
8. Mountain Car Continuous Tensorflow (v2).srt
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8. Proof that using Jupyter Notebook is the same as not using it.mp4
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78.2 MB
8. Proof that using Jupyter Notebook is the same as not using it.srt
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14.1 KB
8. RBF Networks with CartPole (Theory).mp4
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3.1 MB
8. RBF Networks with CartPole (Theory).srt
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9. Mountain Car Continuous Theano (v2).mp4
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22.2 MB
9. Mountain Car Continuous Theano (v2).srt
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9. Partially Observable MDPs.mp4
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7.6 MB
9. Partially Observable MDPs.srt
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5.8 KB
9. Python 2 vs Python 3.mp4
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7.8 MB
9. Python 2 vs Python 3.srt
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6.1 KB
9. RBF Networks with CartPole (Code).mp4
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8.9 MB
9. RBF Networks with CartPole (Code).srt
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3.6 KB
[CourseClub.Me].url
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[FreeCourseWorld.Com].url
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102 B

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