[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

Creation Time	April 28, 2024, 5:43 a.m.
Last Access Time	Oct. 22, 2024, 8:23 a.m.
File Size	1.8 GB
Keywords	FreeCourseSite AI - Deep Udemy Python Reinforcement Learning in com Advanced
Total Requests	31
Total Files	147
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9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 186.2 MB
7. A3C/5. A3C - Code pt 4.mp4 184.4 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 87.0 MB
7. A3C/4. A3C - Code pt 3.mp4 84.5 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 81.4 MB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
7. A3C/1. A3C - Theory and Outline.mp4 71.8 MB
7. A3C/3. A3C - Code pt 2.mp4 57.6 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 50.1 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
9. Appendix/13. What order should I take your courses in (part 2).mp4 37.6 MB
9. Appendix/12. What order should I take your courses in (part 1).mp4 29.3 MB
9. Appendix/5. How to Code by Yourself (part 1).mp4 24.5 MB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 22.2 MB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 20.1 MB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4 20.0 MB
5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 19.1 MB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4 18.9 MB
5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).mp4 18.8 MB
9. Appendix/7. How to Succeed in this Course (Long Version).mp4 18.3 MB
5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.mp4 18.0 MB
5. Policy Gradients/1. Policy Gradient Methods.mp4 18.0 MB
9. Appendix/11. Is Theano Dead.mp4 17.8 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.mp4 16.5 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4 15.8 MB
6. Deep Q-Learning/6. Deep Q-Learning in Tensorflow for Breakout.mp4 15.8 MB
6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.mp4 15.0 MB
9. Appendix/6. How to Code by Yourself (part 2).mp4 14.8 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).mp4 14.7 MB
6. Deep Q-Learning/2. Deep Q-Learning Techniques.mp4 14.5 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).mp4 13.8 MB
6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.mp4 13.8 MB
5. Policy Gradients/3. Policy Gradient in Theano for CartPole.mp4 13.4 MB
2. Background Review/2. Review of Markov Decision Processes.mp4 12.3 MB
4. TD Lambda/3. TD Lambda.mp4 11.8 MB
2. Background Review/7. Review of Deep Learning.mp4 11.0 MB
6. Deep Q-Learning/9. Deep Q-Learning Section Summary.mp4 10.4 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.mp4 10.3 MB
4. TD Lambda/2. N-Step in Code.mp4 9.5 MB
7. A3C/7. Course Summary.mp4 9.4 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).mp4 8.9 MB
7. A3C/6. A3C - Section Summary.mp4 8.9 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.mp4 8.7 MB
6. Deep Q-Learning/5. Additional Implementation Details for Atari.mp4 8.5 MB
9. Appendix/10. Python 2 vs Python 3.mp4 7.8 MB
4. TD Lambda/4. TD Lambda in Code.mp4 7.6 MB
6. Deep Q-Learning/8. Partially Observable MDPs.mp4 7.6 MB
2. Background Review/5. Review of Temporal Difference Learning.mp4 7.1 MB
5. Policy Gradients/4. Continuous Action Spaces.mp4 6.6 MB
2. Background Review/3. Review of Dynamic Programming.mp4 6.5 MB
5. Policy Gradients/5. Mountain Car Continuous Specifics.mp4 6.5 MB
2. Background Review/4. Review of Monte Carlo Methods.mp4 6.2 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).mp4 6.0 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.mp4 5.9 MB
6. Deep Q-Learning/1. Deep Q-Learning Intro.mp4 5.9 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.mp4 5.8 MB
9. Appendix/1. What is the Appendix.mp4 5.5 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.mp4 5.3 MB
1. Introduction and Logistics/2. Where to get the Code.mp4 5.2 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.mp4 5.1 MB
4. TD Lambda/1. N-Step Methods.mp4 5.0 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.mp4 4.5 MB
2. Background Review/1. Review Intro.mp4 4.2 MB
9. Appendix/2. Where to get Udemy coupons and FREE deep learning material.mp4 4.0 MB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.mp4 3.7 MB
4. TD Lambda/5. TD Lambda Summary.mp4 3.6 MB
5. Policy Gradients/10. Policy Gradient Section Summary.mp4 3.3 MB
1. Introduction and Logistics/3. How to Succeed in this Course.mp4 3.3 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).mp4 3.1 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.8 KB
9. Appendix/13. What order should I take your courses in (part 2).vtt 20.2 KB
9. Appendix/5. How to Code by Yourself (part 1).vtt 19.8 KB
7. A3C/5. A3C - Code pt 4.vtt 18.6 KB
7. A3C/1. A3C - Theory and Outline.vtt 17.9 KB
9. Appendix/3. Windows-Focused Environment Setup 2018.vtt 17.4 KB
9. Appendix/12. What order should I take your courses in (part 1).vtt 14.1 KB
5. Policy Gradients/1. Policy Gradient Methods.vtt 13.0 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.vtt 12.8 KB
9. Appendix/7. How to Succeed in this Course (Long Version).vtt 12.8 KB
1. Introduction and Logistics/1. Introduction and Outline.vtt 12.8 KB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.4 KB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt 12.2 KB
9. Appendix/6. How to Code by Yourself (part 2).vtt 11.6 KB
9. Appendix/11. Is Theano Dead.vtt 11.3 KB
6. Deep Q-Learning/2. Deep Q-Learning Techniques.vtt 10.8 KB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.vtt 9.0 KB
2. Background Review/2. Review of Markov Decision Processes.vtt 8.9 KB
5. Policy Gradients/6. Mountain Car Continuous Theano.vtt 8.6 KB
4. TD Lambda/3. TD Lambda.vtt 8.2 KB
2. Background Review/7. Review of Deep Learning.vtt 8.2 KB
7. A3C/4. A3C - Code pt 3.vtt 8.0 KB
5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.vtt 7.7 KB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).vtt 7.4 KB
7. A3C/3. A3C - Code pt 2.vtt 7.3 KB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.vtt 7.1 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).vtt 7.0 KB
7. A3C/2. A3C - Code pt 1 (Warmup).vtt 6.8 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.vtt 6.8 KB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.vtt 6.3 KB
5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).vtt 6.2 KB
6. Deep Q-Learning/5. Additional Implementation Details for Atari.vtt 6.2 KB
6. Deep Q-Learning/6. Deep Q-Learning in Tensorflow for Breakout.vtt 6.1 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.vtt 6.0 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).vtt 5.7 KB
9. Appendix/10. Python 2 vs Python 3.vtt 5.4 KB
7. A3C/7. Course Summary.vtt 5.3 KB
6. Deep Q-Learning/9. Deep Q-Learning Section Summary.vtt 5.3 KB
2. Background Review/5. Review of Temporal Difference Learning.vtt 5.2 KB
6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.vtt 5.1 KB
6. Deep Q-Learning/8. Partially Observable MDPs.vtt 5.1 KB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.vtt 5.1 KB
6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.vtt 4.8 KB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt 4.8 KB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.vtt 4.8 KB
2. Background Review/3. Review of Dynamic Programming.vtt 4.7 KB
5. Policy Gradients/4. Continuous Action Spaces.vtt 4.7 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).vtt 4.6 KB
5. Policy Gradients/5. Mountain Car Continuous Specifics.vtt 4.4 KB
2. Background Review/4. Review of Monte Carlo Methods.vtt 4.4 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.vtt 4.3 KB
6. Deep Q-Learning/1. Deep Q-Learning Intro.vtt 4.2 KB
1. Introduction and Logistics/2. Where to get the Code.vtt 4.1 KB
5. Policy Gradients/3. Policy Gradient in Theano for CartPole.vtt 4.0 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.vtt 3.7 KB
4. TD Lambda/2. N-Step in Code.vtt 3.7 KB
1. Introduction and Logistics/3. How to Succeed in this Course.vtt 3.5 KB
4. TD Lambda/1. N-Step Methods.vtt 3.4 KB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.vtt 3.3 KB
9. Appendix/1. What is the Appendix.vtt 3.3 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).vtt 3.2 KB
2. Background Review/1. Review Intro.vtt 3.1 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.vtt 3.1 KB
9. Appendix/2. Where to get Udemy coupons and FREE deep learning material.vtt 3.0 KB
4. TD Lambda/4. TD Lambda in Code.vtt 2.9 KB
4. TD Lambda/5. TD Lambda Summary.vtt 2.6 KB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.vtt 2.5 KB
7. A3C/6. A3C - Section Summary.vtt 2.4 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.vtt 2.2 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).vtt 2.2 KB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.vtt 2.1 KB
5. Policy Gradients/10. Policy Gradient Section Summary.vtt 1.7 KB
[FCS Forum].url 133 bytes
[FreeCourseSite.com].url 127 bytes
[CourseClub.NET].url 123 bytes

[FreeCourseSite.com] Udemy - Advanced AI Deep Reinforcement Learning in Python

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