[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python

Torrent Hash:
AF0A3B27FB2DE5A655BE10656280DED35C202B77
Number of Files:
149
Content Size:
2.28GB
Convert On:
2020-01-20
Keywords:
DesireCourseNetUdemyAdvancedAIDeepReinforcementLearninginPython
Magnet Link:
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File Name
Size
1. Introduction and Logistics/1. Introduction and Outline.mp4
15.84MB
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1. Introduction and Logistics/1. Introduction and Outline.srt
14.5KB
1. Introduction and Logistics/2. Where to get the Code.mp4
5.19MB
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1. Introduction and Logistics/2. Where to get the Code.srt
4.63KB
1. Introduction and Logistics/3. How to Succeed in this Course.mp4
3.3MB
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1. Introduction and Logistics/3. How to Succeed in this Course.srt
3.97KB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4
18.93MB
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1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.srt
5.4KB
2. Background Review/1. Review Intro.mp4
4.2MB
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2. Background Review/1. Review Intro.srt
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2. Background Review/2. Review of Markov Decision Processes.mp4
12.3MB
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2. Background Review/2. Review of Markov Decision Processes.srt
10.06KB
2. Background Review/3. Review of Dynamic Programming.mp4
6.52MB
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2. Background Review/3. Review of Dynamic Programming.srt
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2. Background Review/4. Review of Monte Carlo Methods.mp4
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2. Background Review/4. Review of Monte Carlo Methods.srt
4.99KB
2. Background Review/5. Review of Temporal Difference Learning.mp4
18.52MB
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2. Background Review/5. Review of Temporal Difference Learning.srt
5.88KB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.mp4
3.67MB
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2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.srt
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2. Background Review/7. Review of Deep Learning.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.srt
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.mp4
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3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.srt
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5.3KB
5. Policy Gradients/5. Mountain Car Continuous Specifics.mp4
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14.44MB
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14.98MB
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5.83KB
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8.51MB
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27.81MB
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6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4
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6. Deep Q-Learning/9. Partially Observable MDPs.mp4
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71.76MB
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20.25KB
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50.09MB
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7.79KB
7. A3C/3. A3C - Code pt 2.mp4
57.61MB
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8.31KB
7. A3C/4. A3C - Code pt 3.mp4
84.52MB
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8.96KB
7. A3C/5. A3C - Code pt 4.mp4
184.34MB
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21.21KB
7. A3C/6. A3C - Section Summary.mp4
8.85MB
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2.65KB
7. A3C/7. Course Summary.mp4
9.45MB
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6.02KB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4
93.41MB
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7.19KB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4
87.01MB
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3.81KB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
81.42MB
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5.88KB
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97.29MB
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5.51KB
9. Appendix FAQ/1. What is the Appendix.mp4
5.45MB
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9. Appendix FAQ/1. What is the Appendix.srt
3.72KB
9. Appendix FAQ/10. Is Theano Dead.mp4
17.81MB
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9. Appendix FAQ/10. Is Theano Dead.srt
12.92KB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4
29.32MB
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9. Appendix FAQ/11. What order should I take your courses in (part 1).srt
16.03KB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4
37.62MB
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9. Appendix FAQ/12. What order should I take your courses in (part 2).srt
23.04KB
9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.84MB
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9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.srt
7.87KB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
186.16MB
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9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt
20.1KB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
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9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.48KB
9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4
24.53MB
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9. Appendix FAQ/4. How to Code by Yourself (part 1).srt
22.75KB
9. Appendix FAQ/5. How to Code by Yourself (part 2).mp4
14.8MB
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9. Appendix FAQ/5. How to Code by Yourself (part 2).srt
13.26KB
9. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
18.31MB
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9. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
14.55KB
9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.95MB
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9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
31.79KB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.24MB
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9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt
14.12KB
9. Appendix FAQ/9. Python 2 vs Python 3.mp4
7.83MB
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9. Appendix FAQ/9. Python 2 vs Python 3.srt
6.1KB
[CourseClub.Me].url
48B
[DesireCourse.Net].url
51B
[FreeCourseWorld.Com].url
54B

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