Udemy - Advanced AI Deep Reinforcement Learning in Python

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Nome:	Udemy - Advanced AI Deep Reinforcement Learning in Python
Descrizione: This course is all about the application of deep learning and neural networks to reinforcement learning. If you’ve taken my first reinforcement learning class, then you know that reinforcement learning is on the bleeding edge of what we can do with AI. Specifically, the combination of deep learning with reinforcement learning has led to AlphaGo beating a world champion in the strategy game Go, it has led to self-driving cars, and it has led to machines that can play video games at a superhuman level.
YouTube Video:
Categoria:	Tutorials
Lingua:	English
Dimensione totale:	1.79 GB
Info Hash:	A8C32B6AD2744E9141CDA36AB8EFC937CDBDA3CD
Aggiunto di:	fclab16
Data di aggiunta:	2019-02-01 04:51:23
Stato torrent:	Torrent Verified

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File List:

File	Dimensione
1. Introduction and Logistics/1. Introduction and Outline.mp4	15.83 MB
1. Introduction and Logistics/1. Introduction and Outline.vtt	12.77 kB
1. Introduction and Logistics/2. Where to get the Code.mp4	5.20 MB
1. Introduction and Logistics/2. Where to get the Code.vtt	4.09 kB
1. Introduction and Logistics/3. How to Succeed in this Course.mp4	3.30 MB
1. Introduction and Logistics/3. How to Succeed in this Course.vtt	3.49 kB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4	18.93 MB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.vtt	4.75 kB
2. Background Review/1. Review Intro.mp4	4.20 MB
2. Background Review/1. Review Intro.vtt	3.14 kB
2. Background Review/2. Review of Markov Decision Processes.mp4	12.31 MB
2. Background Review/2. Review of Markov Decision Processes.vtt	8.86 kB
2. Background Review/3. Review of Dynamic Programming.mp4	6.51 MB
2. Background Review/3. Review of Dynamic Programming.vtt	4.70 kB
2. Background Review/4. Review of Monte Carlo Methods.mp4	6.18 MB
2. Background Review/4. Review of Monte Carlo Methods.vtt	4.41 kB
2. Background Review/5. Review of Temporal Difference Learning.mp4	7.16 MB
2. Background Review/5. Review of Temporal Difference Learning.vtt	5.23 kB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.mp4	3.67 MB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.vtt	2.51 kB
2. Background Review/7. Review of Deep Learning.mp4	11.05 MB
2. Background Review/7. Review of Deep Learning.vtt	8.17 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.mp4	8.67 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.vtt	6.76 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.mp4	5.83 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.vtt	3.08 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.mp4	5.07 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.vtt	2.19 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.mp4	5.92 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.vtt	4.28 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.mp4	5.32 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.vtt	3.71 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.mp4	10.29 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.vtt	6.04 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.mp4	4.54 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.vtt	2.10 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).mp4	6.02 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).vtt	4.60 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).mp4	14.70 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).vtt	7.01 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.mp4	16.52 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.vtt	12.80 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).mp4	13.75 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).vtt	5.67 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).mp4	3.05 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).vtt	2.17 kB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).mp4	8.91 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).vtt	3.17 kB
4. TD Lambda/1. N-Step Methods.mp4	5.03 MB
4. TD Lambda/1. N-Step Methods.vtt	3.42 kB
4. TD Lambda/2. N-Step in Code.mp4	9.47 MB
4. TD Lambda/2. N-Step in Code.vtt	3.71 kB
4. TD Lambda/3. TD Lambda.mp4	11.78 MB
4. TD Lambda/3. TD Lambda.vtt	8.22 kB
4. TD Lambda/4. TD Lambda in Code.mp4	7.62 MB
4. TD Lambda/4. TD Lambda in Code.vtt	2.92 kB
4. TD Lambda/5. TD Lambda Summary.mp4	3.65 MB
4. TD Lambda/5. TD Lambda Summary.vtt	2.64 kB
5. Policy Gradients/1. Policy Gradient Methods.mp4	17.95 MB
5. Policy Gradients/1. Policy Gradient Methods.vtt	13.02 kB
5. Policy Gradients/10. Policy Gradient Section Summary.mp4	3.33 MB
5. Policy Gradients/10. Policy Gradient Section Summary.vtt	1.67 kB
5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.mp4	17.98 MB
5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.vtt	7.69 kB
5. Policy Gradients/3. Policy Gradient in Theano for CartPole.mp4	13.44 MB
5. Policy Gradients/3. Policy Gradient in Theano for CartPole.vtt	4.00 kB
5. Policy Gradients/4. Continuous Action Spaces.mp4	6.58 MB
5. Policy Gradients/4. Continuous Action Spaces.vtt	4.67 kB
5. Policy Gradients/5. Mountain Car Continuous Specifics.mp4	6.50 MB
5. Policy Gradients/5. Mountain Car Continuous Specifics.vtt	4.45 kB
5. Policy Gradients/6. Mountain Car Continuous Theano.mp4	19.07 MB
5. Policy Gradients/6. Mountain Car Continuous Theano.vtt	8.57 kB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4	20.09 MB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.vtt	8.95 kB
5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).mp4	18.78 MB
5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).vtt	6.20 kB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4	22.19 MB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).vtt	7.36 kB
6. Deep Q-Learning/1. Deep Q-Learning Intro.mp4	5.90 MB
6. Deep Q-Learning/1. Deep Q-Learning Intro.vtt	4.24 kB
6. Deep Q-Learning/2. Deep Q-Learning Techniques.mp4	14.45 MB
6. Deep Q-Learning/2. Deep Q-Learning Techniques.vtt	10.77 kB
6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.mp4	14.99 MB
6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.vtt	5.12 kB
6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.mp4	13.77 MB
6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.vtt	4.78 kB
6. Deep Q-Learning/5. Additional Implementation Details for Atari.mp4	8.51 MB
6. Deep Q-Learning/5. Additional Implementation Details for Atari.vtt	6.15 kB
6. Deep Q-Learning/6. Deep Q-Learning in Tensorflow for Breakout.mp4	15.76 MB
6. Deep Q-Learning/6. Deep Q-Learning in Tensorflow for Breakout.vtt	6.09 kB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.mp4	20.04 MB
6. Deep Q-Learning/7. Deep Q-Learning in Theano for Breakout.vtt	7.11 kB
6. Deep Q-Learning/8. Partially Observable MDPs.mp4	7.60 MB
6. Deep Q-Learning/8. Partially Observable MDPs.vtt	5.09 kB
6. Deep Q-Learning/9. Deep Q-Learning Section Summary.mp4	10.40 MB
6. Deep Q-Learning/9. Deep Q-Learning Section Summary.vtt	5.32 kB
7. A3C/1. A3C - Theory and Outline.mp4	71.76 MB
7. A3C/1. A3C - Theory and Outline.vtt	17.85 kB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4	50.09 MB
7. A3C/2. A3C - Code pt 1 (Warmup).vtt	6.83 kB
7. A3C/3. A3C - Code pt 2.mp4	57.61 MB
7. A3C/3. A3C - Code pt 2.vtt	7.32 kB
7. A3C/4. A3C - Code pt 3.mp4	84.52 MB
7. A3C/4. A3C - Code pt 3.vtt	7.95 kB
7. A3C/5. A3C - Code pt 4.mp4	184.35 MB
7. A3C/5. A3C - Code pt 4.vtt	18.59 kB
7. A3C/6. A3C - Section Summary.mp4	8.85 MB
7. A3C/6. A3C - Section Summary.vtt	2.36 kB
7. A3C/7. Course Summary.mp4	9.46 MB
7. A3C/7. Course Summary.vtt	5.33 kB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4	93.40 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.vtt	6.31 kB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4	87.00 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.vtt	3.29 kB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4	81.43 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.vtt	5.06 kB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4	97.29 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt	4.78 kB
9. Appendix/1. What is the Appendix.mp4	5.46 MB
9. Appendix/1. What is the Appendix.vtt	3.28 kB
9. Appendix/10. Python 2 vs Python 3.mp4	7.84 MB
9. Appendix/10. Python 2 vs Python 3.vtt	5.35 kB
9. Appendix/11. Is Theano Dead.mp4	17.82 MB
9. Appendix/11. Is Theano Dead.vtt	11.30 kB
9. Appendix/12. What order should I take your courses in (part 1).mp4	29.33 MB
9. Appendix/12. What order should I take your courses in (part 1).vtt	14.09 kB
9. Appendix/13. What order should I take your courses in (part 2).mp4	37.62 MB
9. Appendix/13. What order should I take your courses in (part 2).vtt	20.24 kB
9. Appendix/2. Where to get Udemy coupons and FREE deep learning material.mp4	4.03 MB
9. Appendix/2. Where to get Udemy coupons and FREE deep learning material.vtt	2.99 kB
9. Appendix/3. Windows-Focused Environment Setup 2018.mp4	186.16 MB
9. Appendix/3. Windows-Focused Environment Setup 2018.vtt	17.39 kB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.92 MB
9. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.40 kB
9. Appendix/5. How to Code by Yourself (part 1).mp4	24.53 MB
9. Appendix/5. How to Code by Yourself (part 1).vtt	19.78 kB
9. Appendix/6. How to Code by Yourself (part 2).mp4	14.80 MB
9. Appendix/6. How to Code by Yourself (part 2).vtt	11.62 kB
9. Appendix/7. How to Succeed in this Course (Long Version).mp4	18.32 MB
9. Appendix/7. How to Succeed in this Course (Long Version).vtt	12.79 kB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	38.96 MB
9. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	27.77 kB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4	78.25 MB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt	12.22 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Advanced AI Deep Reinforcement Learning in Python