Tutorialsplanet NET Udemy GAdvanced AI Deep Reinforcement Learning in Python

Tutorialsplanet NET Udemy GAdvanced AI Deep Reinforcement Learning in Python

Name	[Tutorialsplanet.NET] Udemy - GAdvanced AI Deep Reinforcement Learning in Python	DOWNLOAD Copy Link
Total Size	3.1 GB
Total Files	159
Hash	B605E703692DBC1F98B03D7923F9AAC7CDF4FFAA

/1. Introduction and Logistics/
1. Introduction and Outline.mp4	52.9 MB
1. Introduction and Outline.srt	11.6 KB
2. Where to get the Code.mp4	31.9 MB
2. Where to get the Code.srt	7.7 KB
3. How to Succeed in this Course.mp4	29.3 MB
3. How to Succeed in this Course.srt	9.0 KB
4. Tensorflow or Theano - Your Choice!.mp4	19.9 MB
4. Tensorflow or Theano - Your Choice!.srt	5.5 KB
/10. Extra Help With Python Coding for Beginners/
1. How to Code by Yourself (part 1).mp4	25.7 MB
1. How to Code by Yourself (part 1).srt	23.3 KB
2. How to Code by Yourself (part 2).mp4	15.5 MB
2. How to Code by Yourself (part 2).srt	13.6 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4	82.0 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt	14.5 KB
4. Python 2 vs Python 3.mp4	8.2 MB
4. Python 2 vs Python 3.srt	6.2 KB
5. Is Theano Dead.mp4	18.7 MB
5. Is Theano Dead.srt	13.2 KB
/11. Effective Learning Strategies for Machine Learning/
1. How to Succeed in this Course (Long Version).mp4	19.2 MB
1. How to Succeed in this Course (Long Version).srt	14.9 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	40.9 MB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt	32.5 KB
3. What order should I take your courses in (part 1).mp4	30.8 MB
3. What order should I take your courses in (part 1).srt	16.4 KB
4. What order should I take your courses in (part 2).mp4	39.4 MB
4. What order should I take your courses in (part 2).srt	23.6 KB
/12. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.8 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt	8.1 KB
/2. The Basics of Reinforcement Learning/
1. Reinforcement Learning Section Introduction.mp4	43.0 MB
1. Reinforcement Learning Section Introduction.srt	9.0 KB
10. Epsilon-Greedy.mp4	43.8 MB
10. Epsilon-Greedy.srt	8.1 KB
11. Q-Learning.mp4	70.4 MB
11. Q-Learning.srt	19.4 KB
12. How to Learn Reinforcement Learning.mp4	42.5 MB
12. How to Learn Reinforcement Learning.srt	8.0 KB
13. Suggestion Box.mp4	16.9 MB
13. Suggestion Box.srt	4.8 KB
2. Elements of a Reinforcement Learning Problem.mp4	110.4 MB
2. Elements of a Reinforcement Learning Problem.srt	27.8 KB
3. States, Actions, Rewards, Policies.mp4	46.7 MB
3. States, Actions, Rewards, Policies.srt	12.0 KB
4. Markov Decision Processes (MDPs).mp4	53.3 MB
4. Markov Decision Processes (MDPs).srt	13.6 KB
5. The Return.mp4	24.9 MB
5. The Return.srt	6.8 KB
6. Value Functions and the Bellman Equation.mp4	50.5 MB
6. Value Functions and the Bellman Equation.srt	13.2 KB
7. What does it mean to “learn”.mp4	34.5 MB
7. What does it mean to “learn”.srt	9.5 KB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4	45.1 MB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt	13.3 KB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4	60.1 MB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt	15.9 KB
/3. OpenAI Gym and Basic Reinforcement Learning Techniques/
1. OpenAI Gym Tutorial.mp4	9.1 MB
1. OpenAI Gym Tutorial.srt	7.9 KB
10. Theano Warmup.mp4	6.1 MB
10. Theano Warmup.srt	3.6 KB
11. Tensorflow Warmup.mp4	5.3 MB
11. Tensorflow Warmup.srt	2.5 KB
12. Plugging in a Neural Network.mp4	6.2 MB
12. Plugging in a Neural Network.srt	4.9 KB
13. OpenAI Gym Section Summary.mp4	5.6 MB
13. OpenAI Gym Section Summary.srt	4.3 KB
2. Random Search.mp4	10.8 MB
2. Random Search.srt	7.0 KB
3. Saving a Video.mp4	4.8 MB
3. Saving a Video.srt	2.4 KB
4. CartPole with Bins (Theory).mp4	6.3 MB
4. CartPole with Bins (Theory).srt	5.3 KB
5. CartPole with Bins (Code).mp4	15.4 MB
5. CartPole with Bins (Code).srt	8.2 KB
6. RBF Neural Networks.mp4	17.3 MB
6. RBF Neural Networks.srt	15.0 KB
7. RBF Networks with Mountain Car (Code).mp4	14.4 MB
7. RBF Networks with Mountain Car (Code).srt	6.6 KB
8. RBF Networks with CartPole (Theory).mp4	3.2 MB
8. RBF Networks with CartPole (Theory).srt	2.5 KB
9. RBF Networks with CartPole (Code).mp4	9.3 MB
9. RBF Networks with CartPole (Code).srt	3.7 KB
/4. TD Lambda/
1. N-Step Methods.mp4	16.3 MB
1. N-Step Methods.srt	3.9 KB
2. N-Step in Code.mp4	9.9 MB
2. N-Step in Code.srt	4.3 KB
3. TD Lambda.mp4	12.3 MB
3. TD Lambda.srt	9.6 KB
4. TD Lambda in Code.mp4	8.0 MB
4. TD Lambda in Code.srt	3.4 KB
5. TD Lambda Summary.mp4	3.8 MB
5. TD Lambda Summary.srt	3.0 KB
/5. Policy Gradients/
1. Policy Gradient Methods.mp4	18.8 MB
1. Policy Gradient Methods.srt	15.2 KB
10. Policy Gradient Section Summary.mp4	3.5 MB
10. Policy Gradient Section Summary.srt	1.9 KB
2. Policy Gradient in TensorFlow for CartPole.mp4	18.8 MB
2. Policy Gradient in TensorFlow for CartPole.srt	8.9 KB
3. Policy Gradient in Theano for CartPole.mp4	14.1 MB
3. Policy Gradient in Theano for CartPole.srt	4.6 KB
4. Continuous Action Spaces.mp4	6.9 MB
4. Continuous Action Spaces.srt	5.4 KB
5. Mountain Car Continuous Specifics.mp4	6.8 MB
5. Mountain Car Continuous Specifics.srt	5.1 KB
6. Mountain Car Continuous Theano.mp4	20.0 MB
6. Mountain Car Continuous Theano.srt	10.1 KB
7. Mountain Car Continuous Tensorflow.mp4	21.1 MB
7. Mountain Car Continuous Tensorflow.srt	10.5 KB
8. Mountain Car Continuous Tensorflow (v2).mp4	19.7 MB
8. Mountain Car Continuous Tensorflow (v2).srt	7.2 KB
9. Mountain Car Continuous Theano (v2).mp4	23.3 MB
9. Mountain Car Continuous Theano (v2).srt	8.5 KB
/6. Deep Q-Learning/
1. Deep Q-Learning Intro.mp4	6.2 MB
1. Deep Q-Learning Intro.srt	5.0 KB
10. Deep Q-Learning Section Summary.mp4	10.9 MB
10. Deep Q-Learning Section Summary.srt	6.2 KB
2. Deep Q-Learning Techniques.mp4	15.2 MB
2. Deep Q-Learning Techniques.srt	12.6 KB
3. Deep Q-Learning in Tensorflow for CartPole.mp4	15.7 MB
3. Deep Q-Learning in Tensorflow for CartPole.srt	6.0 KB
4. Deep Q-Learning in Theano for CartPole.mp4	14.4 MB
4. Deep Q-Learning in Theano for CartPole.srt	5.6 KB
5. Additional Implementation Details for Atari.mp4	8.9 MB
5. Additional Implementation Details for Atari.srt	7.1 KB
6. Pseudocode and Replay Memory.mp4	29.2 MB
6. Pseudocode and Replay Memory.srt	8.0 KB
7. Deep Q-Learning in Tensorflow for Breakout.mp4	246.0 MB
7. Deep Q-Learning in Tensorflow for Breakout.srt	28.8 KB
8. Deep Q-Learning in Theano for Breakout.mp4	245.0 MB
8. Deep Q-Learning in Theano for Breakout.srt	28.8 KB
9. Partially Observable MDPs.mp4	8.0 MB
9. Partially Observable MDPs.srt	5.9 KB
/7. A3C/
1. A3C - Theory and Outline.mp4	75.3 MB
1. A3C - Theory and Outline.srt	20.7 KB
2. A3C - Code pt 1 (Warmup).mp4	52.5 MB
2. A3C - Code pt 1 (Warmup).srt	8.0 KB
3. A3C - Code pt 2.mp4	60.4 MB
3. A3C - Code pt 2.srt	8.5 KB
4. A3C - Code pt 3.mp4	88.6 MB
4. A3C - Code pt 3.srt	9.2 KB
5. A3C - Code pt 4.mp4	193.3 MB
5. A3C - Code pt 4.srt	21.7 KB
6. A3C - Section Summary.mp4	9.3 MB
6. A3C - Section Summary.srt	2.7 KB
7. Course Summary.mp4	9.9 MB
7. Course Summary.srt	6.2 KB
/8. Theano and Tensorflow Basics Review/
1. (Review) Theano Basics.mp4	97.9 MB
1. (Review) Theano Basics.srt	7.4 KB
2. (Review) Theano Neural Network in Code.mp4	91.2 MB
2. (Review) Theano Neural Network in Code.srt	3.9 KB
3. (Review) Tensorflow Basics.mp4	85.4 MB
3. (Review) Tensorflow Basics.srt	6.0 KB
4. (Review) Tensorflow Neural Network in Code.mp4	102.0 MB
4. (Review) Tensorflow Neural Network in Code.srt	5.6 KB
/9. Setting Up Your Environment/
1. Windows-Focused Environment Setup 2018.mp4	195.2 MB
1. Windows-Focused Environment Setup 2018.srt	20.6 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	46.0 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt	14.8 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 159