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Udemy Advanced AI Deep Reinforcement Learning in Python

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Uploader:

tutplanet

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Downloads:

11

Type:

Tutorials

Images:

Udemy Advanced AI Deep Reinforcement Learning in Python

Language:

English

Category:

Other

Size:

2.8 GB

Added:

Oct. 24, 2023, 5:18 p.m.

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Seeders: 3, Leechers: 0 (Last updated: 10 months, 3 weeks ago)

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Files:

1. Introduction and Outline.mp4 50.5 MB
1. Introduction and Outline.srt 11.3 KB
2. Where to get the Code.mp4 51.6 MB
2. Where to get the Code.srt 13.2 KB
2.1 Github Link.html 120 bytes
3. How to Succeed in this Course.mp4 43.8 MB
3. How to Succeed in this Course.srt 8.3 KB
4. Tensorflow or Theano - Your Choice!.mp4 18.9 MB
4. Tensorflow or Theano - Your Choice!.srt 5.4 KB
[Tutorialsplanet.NET].url 128 bytes
1. How to Code by Yourself (part 1).mp4 24.5 MB
1. How to Code by Yourself (part 1).srt 22.8 KB
2. How to Code by Yourself (part 2).mp4 14.8 MB
2. How to Code by Yourself (part 2).srt 13.3 KB
3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
3. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
4. Python 2 vs Python 3.mp4 7.8 MB
4. Python 2 vs Python 3.srt 6.1 KB
5. Is Theano Dead.mp4 17.8 MB
5. Is Theano Dead.srt 12.9 KB
[Tutorialsplanet.NET].url 128 bytes
1. How to Succeed in this Course (Long Version).mp4 18.3 MB
1. How to Succeed in this Course (Long Version).srt 14.5 KB
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 0 bytes
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 0 bytes
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.3 MB
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.0 KB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.6 MB
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.0 KB
1. What is the Appendix.mp4 5.5 MB
1. What is the Appendix.srt 3.7 KB
2. BONUS.mp4 37.9 MB
2. BONUS.srt 7.9 KB
1. Reinforcement Learning Section Introduction.mp4 41.0 MB
1. Reinforcement Learning Section Introduction.srt 8.8 KB
10. Epsilon-Greedy.mp4 40.2 MB
10. Epsilon-Greedy.srt 7.5 KB
11. Q-Learning.mp4 67.1 MB
11. Q-Learning.srt 19.0 KB
12. How to Learn Reinforcement Learning.mp4 40.6 MB
12. How to Learn Reinforcement Learning.srt 7.8 KB
13. Suggestion Box.mp4 16.1 MB
13. Suggestion Box.srt 4.7 KB
2. Elements of a Reinforcement Learning Problem.mp4 105.2 MB
2. Elements of a Reinforcement Learning Problem.srt 27.1 KB
3. States, Actions, Rewards, Policies.mp4 44.5 MB
3. States, Actions, Rewards, Policies.srt 11.7 KB
4. Markov Decision Processes (MDPs).mp4 50.9 MB
4. Markov Decision Processes (MDPs).srt 13.3 KB
5. The Return.mp4 23.8 MB
5. The Return.srt 6.7 KB
6. Value Functions and the Bellman Equation.mp4 48.1 MB
6. Value Functions and the Bellman Equation.srt 12.8 KB
7. What does it mean to “learn”.mp4 31.8 MB
7. What does it mean to “learn”.srt 8.9 KB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4 42.9 MB
8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt 12.4 KB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 57.3 MB
9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt 15.5 KB
1. OpenAI Gym Tutorial.mp4 8.7 MB
1. OpenAI Gym Tutorial.srt 7.7 KB
10. Theano Warmup.mp4 5.8 MB
10. Theano Warmup.srt 3.5 KB
11. Tensorflow Warmup.mp4 5.1 MB
11. Tensorflow Warmup.srt 2.5 KB
12. Plugging in a Neural Network.mp4 5.9 MB
12. Plugging in a Neural Network.srt 4.8 KB
13. OpenAI Gym Section Summary.mp4 5.3 MB
13. OpenAI Gym Section Summary.srt 4.2 KB
2. Random Search.mp4 10.3 MB
2. Random Search.srt 6.9 KB
3. Saving a Video.mp4 4.5 MB
3. Saving a Video.srt 2.4 KB
4. CartPole with Bins (Theory).mp4 6.0 MB
4. CartPole with Bins (Theory).srt 5.2 KB
5. CartPole with Bins (Code).mp4 14.7 MB
5. CartPole with Bins (Code).srt 8.0 KB
6. RBF Neural Networks.mp4 16.5 MB
6. RBF Neural Networks.srt 14.6 KB
7. RBF Networks with Mountain Car (Code).mp4 13.8 MB
7. RBF Networks with Mountain Car (Code).srt 6.4 KB
8. RBF Networks with CartPole (Theory).mp4 3.1 MB
8. RBF Networks with CartPole (Theory).srt 2.4 KB
9. RBF Networks with CartPole (Code).mp4 8.9 MB
9. RBF Networks with CartPole (Code).srt 3.6 KB
1. N-Step Methods.mp4 15.6 MB
1. N-Step Methods.srt 3.8 KB
2. N-Step in Code.mp4 9.5 MB
2. N-Step in Code.srt 4.2 KB
3. TD Lambda.mp4 11.8 MB
3. TD Lambda.srt 9.3 KB
4. TD Lambda in Code.mp4 7.6 MB
4. TD Lambda in Code.srt 3.3 KB
5. TD Lambda Summary.mp4 3.6 MB
5. TD Lambda Summary.srt 3.0 KB
1. Policy Gradient Methods.mp4 17.9 MB
1. Policy Gradient Methods.srt 14.8 KB
10. Policy Gradient Section Summary.mp4 3.3 MB
10. Policy Gradient Section Summary.srt 1.9 KB
2. Policy Gradient in TensorFlow for CartPole.mp4 18.0 MB
2. Policy Gradient in TensorFlow for CartPole.srt 8.7 KB
3. Policy Gradient in Theano for CartPole.mp4 13.4 MB
3. Policy Gradient in Theano for CartPole.srt 4.5 KB
4. Continuous Action Spaces.mp4 6.6 MB
4. Continuous Action Spaces.srt 5.3 KB
5. Mountain Car Continuous Specifics.mp4 6.5 MB
5. Mountain Car Continuous Specifics.srt 5.0 KB
6. Mountain Car Continuous Theano.mp4 19.1 MB
6. Mountain Car Continuous Theano.srt 9.9 KB
7. Mountain Car Continuous Tensorflow.mp4 20.1 MB
7. Mountain Car Continuous Tensorflow.srt 10.3 KB
8. Mountain Car Continuous Tensorflow (v2).mp4 18.8 MB
8. Mountain Car Continuous Tensorflow (v2).srt 7.1 KB
9. Mountain Car Continuous Theano (v2).mp4 22.2 MB
9. Mountain Car Continuous Theano (v2).srt 8.3 KB
1. Deep Q-Learning Intro.mp4 5.9 MB
1. Deep Q-Learning Intro.srt 4.8 KB
10. Deep Q-Learning Section Summary.mp4 10.4 MB
10. Deep Q-Learning Section Summary.srt 6.0 KB
2. Deep Q-Learning Techniques.mp4 14.4 MB
2. Deep Q-Learning Techniques.srt 12.3 KB
3. Deep Q-Learning in Tensorflow for CartPole.mp4 15.0 MB
3. Deep Q-Learning in Tensorflow for CartPole.srt 5.8 KB
4. Deep Q-Learning in Theano for CartPole.mp4 13.8 MB
4. Deep Q-Learning in Theano for CartPole.srt 5.4 KB
5. Additional Implementation Details for Atari.mp4 8.5 MB
5. Additional Implementation Details for Atari.srt 7.0 KB
6. Pseudocode and Replay Memory.mp4 27.8 MB
6. Pseudocode and Replay Memory.srt 7.8 KB
7. Deep Q-Learning in Tensorflow for Breakout.mp4 234.6 MB
7. Deep Q-Learning in Tensorflow for Breakout.srt 28.2 KB
8. Deep Q-Learning in Theano for Breakout.mp4 233.7 MB
8. Deep Q-Learning in Theano for Breakout.srt 28.1 KB
9. Partially Observable MDPs.mp4 7.6 MB
9. Partially Observable MDPs.srt 5.8 KB
1. A3C - Theory and Outline.mp4 71.8 MB
1. A3C - Theory and Outline.srt 20.3 KB
2. A3C - Code pt 1 (Warmup).mp4 50.1 MB
2. A3C - Code pt 1 (Warmup).srt 7.8 KB
3. A3C - Code pt 2.mp4 57.6 MB
3. A3C - Code pt 2.srt 8.3 KB
4. A3C - Code pt 3.mp4 84.5 MB
4. A3C - Code pt 3.srt 9.0 KB
5. A3C - Code pt 4.mp4 184.3 MB
5. A3C - Code pt 4.srt 21.2 KB
6. A3C - Section Summary.mp4 8.9 MB
6. A3C - Section Summary.srt 2.6 KB
7. Course Summary.mp4 9.4 MB
7. Course Summary.srt 6.0 KB
1. (Review) Theano Basics.mp4 78.1 MB
1. (Review) Theano Basics.srt 7.3 KB
2. (Review) Theano Neural Network in Code.mp4 67.7 MB
2. (Review) Theano Neural Network in Code.srt 3.9 KB
3. (Review) Tensorflow Basics.mp4 63.4 MB
3. (Review) Tensorflow Basics.srt 6.0 KB
4. (Review) Tensorflow Neural Network in Code.mp4 78.4 MB
4. (Review) Tensorflow Neural Network in Code.srt 6.0 KB
1. Anaconda Environment Setup.mp4 186.2 MB
1. Anaconda Environment Setup.srt 20.1 KB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.5 KB
[Tutorialsplanet.NET].url 128 bytes

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