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[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python
magnet:?xt=urn:btih:af0a3b27fb2de5a655be10656280ded35c202b77&dn=[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python
磁力链接详情
文件列表详情
af0a3b27fb2de5a655be10656280ded35c202b77
infohash:
73
文件数量
2.28 GB
文件大小
2020-1-13 18:44
创建日期
2024-7-22 19:42
最后访问
相关分词
DesireCourse
Net
Udemy
-
Advanced
AI
Deep
Reinforcement
Learning
in
Python
1. Introduction and Logistics/1. Introduction and Outline.mp4 15.84 MB
1. Introduction and Logistics/2. Where to get the Code.mp4 5.19 MB
1. Introduction and Logistics/3. How to Succeed in this Course.mp4 3.3 MB
1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4 18.93 MB
2. Background Review/1. Review Intro.mp4 4.2 MB
2. Background Review/2. Review of Markov Decision Processes.mp4 12.3 MB
2. Background Review/3. Review of Dynamic Programming.mp4 6.52 MB
2. Background Review/4. Review of Monte Carlo Methods.mp4 6.18 MB
2. Background Review/5. Review of Temporal Difference Learning.mp4 18.52 MB
2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.mp4 3.67 MB
2. Background Review/7. Review of Deep Learning.mp4 11.05 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.mp4 8.67 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.mp4 5.83 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.mp4 5.06 MB
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/13. OpenAI Gym Section Summary.mp4 5.32 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.mp4 10.29 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.mp4 4.55 MB
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/5. CartPole with Bins (Code).mp4 14.7 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.mp4 16.51 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).mp4 13.76 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).mp4 3.06 MB
3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).mp4 8.92 MB
4. TD Lambda/1. N-Step Methods.mp4 5.03 MB
4. TD Lambda/2. N-Step in Code.mp4 9.47 MB
4. TD Lambda/3. TD Lambda.mp4 11.77 MB
4. TD Lambda/4. TD Lambda in Code.mp4 7.63 MB
4. TD Lambda/5. TD Lambda Summary.mp4 3.65 MB
5. Policy Gradients/1. Policy Gradient Methods.mp4 17.94 MB
5. Policy Gradients/10. Policy Gradient Section Summary.mp4 3.33 MB
5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.mp4 17.97 MB
5. Policy Gradients/3. Policy Gradient in Theano for CartPole.mp4 13.44 MB
5. Policy Gradients/4. Continuous Action Spaces.mp4 6.59 MB
5. Policy Gradients/5. Mountain Car Continuous Specifics.mp4 6.51 MB
5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 19.06 MB
5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 20.09 MB
5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).mp4 18.78 MB
5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 22.19 MB
6. Deep Q-Learning/1. Deep Q-Learning Intro.mp4 5.9 MB
6. Deep Q-Learning/10. Deep Q-Learning Section Summary.mp4 10.4 MB
6. Deep Q-Learning/2. Deep Q-Learning Techniques.mp4 14.44 MB
6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.mp4 14.98 MB
6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.mp4 13.76 MB
6. Deep Q-Learning/5. Additional Implementation Details for Atari.mp4 8.51 MB
6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 27.81 MB
6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 234.6 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 233.69 MB
6. Deep Q-Learning/9. Partially Observable MDPs.mp4 7.61 MB
7. A3C/1. A3C - Theory and Outline.mp4 71.76 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 50.09 MB
7. A3C/3. A3C - Code pt 2.mp4 57.61 MB
7. A3C/4. A3C - Code pt 3.mp4 84.52 MB
7. A3C/5. A3C - Code pt 4.mp4 184.34 MB
7. A3C/6. A3C - Section Summary.mp4 8.85 MB
7. A3C/7. Course Summary.mp4 9.45 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 93.41 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 87.01 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 81.42 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 97.29 MB
9. Appendix FAQ/1. What is the Appendix.mp4 5.45 MB
9. Appendix FAQ/10. Is Theano Dead.mp4 17.81 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 29.32 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 37.62 MB
9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.84 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186.16 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 24.53 MB
9. Appendix FAQ/5. How to Code by Yourself (part 2).mp4 14.8 MB
9. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 18.31 MB
9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.24 MB
9. Appendix FAQ/9. Python 2 vs Python 3.mp4 7.83 MB
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