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Udemy - Advanced AI: Deep Reinforcement Learning in Python [FCS]

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Uploader:

fcs0310

Source:

1337x

Downloads:

7

Type:

Tutorials

Language:

English

Category:

Other

Size:

1.8 GB

Added:

June 2, 2023, 2:05 p.m.

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Seeders: 3, Leechers: 2 (Last updated: 10 months, 3 weeks ago)

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Files:

1. Introduction and Outline.mp4 15.8 MB
1. Introduction and Outline.vtt 12.8 KB
2. Where to get the Code.mp4 5.2 MB
2. Where to get the Code.vtt 4.1 KB
3. How to Succeed in this Course.mp4 3.3 MB
3. How to Succeed in this Course.vtt 3.5 KB
4. Tensorflow or Theano - Your Choice!.mp4 18.9 MB
4. Tensorflow or Theano - Your Choice!.vtt 4.8 KB
1. Review Intro.mp4 4.2 MB
1. Review Intro.vtt 3.1 KB
2. Review of Markov Decision Processes.mp4 12.3 MB
2. Review of Markov Decision Processes.vtt 8.9 KB
3. Review of Dynamic Programming.mp4 6.5 MB
3. Review of Dynamic Programming.vtt 4.7 KB
4. Review of Monte Carlo Methods.mp4 6.2 MB
4. Review of Monte Carlo Methods.vtt 4.4 KB
5. Review of Temporal Difference Learning.mp4 7.1 MB
5. Review of Temporal Difference Learning.vtt 5.2 KB
6. Review of Approximation Methods for Reinforcement Learning.mp4 3.7 MB
6. Review of Approximation Methods for Reinforcement Learning.vtt 2.5 KB
7. Review of Deep Learning.mp4 11.0 MB
7. Review of Deep Learning.vtt 8.2 KB
1. OpenAI Gym Tutorial.mp4 8.7 MB
1. OpenAI Gym Tutorial.vtt 6.8 KB
10. Theano Warmup.mp4 5.8 MB
10. Theano Warmup.vtt 3.1 KB
11. Tensorflow Warmup.mp4 5.1 MB
11. Tensorflow Warmup.vtt 2.2 KB
12. Plugging in a Neural Network.mp4 5.9 MB
12. Plugging in a Neural Network.vtt 4.3 KB
13. OpenAI Gym Section Summary.mp4 5.3 MB
13. OpenAI Gym Section Summary.vtt 3.7 KB
2. Random Search.mp4 10.3 MB
2. Random Search.vtt 6.0 KB
3. Saving a Video.mp4 4.5 MB
3. Saving a Video.vtt 2.1 KB
4. CartPole with Bins (Theory).mp4 6.0 MB
4. CartPole with Bins (Theory).vtt 4.6 KB
5. CartPole with Bins (Code).mp4 14.7 MB
5. CartPole with Bins (Code).vtt 7.0 KB
6. RBF Neural Networks.mp4 16.5 MB
6. RBF Neural Networks.vtt 12.8 KB
7. RBF Networks with Mountain Car (Code).mp4 13.8 MB
7. RBF Networks with Mountain Car (Code).vtt 5.7 KB
8. RBF Networks with CartPole (Theory).mp4 3.1 MB
8. RBF Networks with CartPole (Theory).vtt 2.2 KB
9. RBF Networks with CartPole (Code).mp4 8.9 MB
9. RBF Networks with CartPole (Code).vtt 3.2 KB
1. N-Step Methods.mp4 5.0 MB
1. N-Step Methods.vtt 3.4 KB
2. N-Step in Code.mp4 9.5 MB
2. N-Step in Code.vtt 3.7 KB
3. TD Lambda.mp4 11.8 MB
3. TD Lambda.vtt 8.2 KB
4. TD Lambda in Code.mp4 7.6 MB
4. TD Lambda in Code.vtt 2.9 KB
5. TD Lambda Summary.mp4 3.6 MB
5. TD Lambda Summary.vtt 2.6 KB
1. Policy Gradient Methods.mp4 18.0 MB
1. Policy Gradient Methods.vtt 13.0 KB
10. Policy Gradient Section Summary.mp4 3.3 MB
10. Policy Gradient Section Summary.vtt 1.7 KB
2. Policy Gradient in TensorFlow for CartPole.mp4 18.0 MB
2. Policy Gradient in TensorFlow for CartPole.vtt 7.7 KB
3. Policy Gradient in Theano for CartPole.mp4 13.4 MB
3. Policy Gradient in Theano for CartPole.vtt 4.0 KB
4. Continuous Action Spaces.mp4 6.6 MB
4. Continuous Action Spaces.vtt 4.7 KB
5. Mountain Car Continuous Specifics.mp4 6.5 MB
5. Mountain Car Continuous Specifics.vtt 4.4 KB
6. Mountain Car Continuous Theano.mp4 19.1 MB
6. Mountain Car Continuous Theano.vtt 8.6 KB
7. Mountain Car Continuous Tensorflow.mp4 20.1 MB
7. Mountain Car Continuous Tensorflow.vtt 9.0 KB
8. Mountain Car Continuous Tensorflow (v2).mp4 18.8 MB
8. Mountain Car Continuous Tensorflow (v2).vtt 6.2 KB
9. Mountain Car Continuous Theano (v2).mp4 22.2 MB
9. Mountain Car Continuous Theano (v2).vtt 7.4 KB
1. Deep Q-Learning Intro.mp4 5.9 MB
1. Deep Q-Learning Intro.vtt 4.2 KB
2. Deep Q-Learning Techniques.mp4 14.5 MB
2. Deep Q-Learning Techniques.vtt 10.8 KB
3. Deep Q-Learning in Tensorflow for CartPole.mp4 15.0 MB
3. Deep Q-Learning in Tensorflow for CartPole.vtt 5.1 KB
4. Deep Q-Learning in Theano for CartPole.mp4 13.8 MB
4. Deep Q-Learning in Theano for CartPole.vtt 4.8 KB
5. Additional Implementation Details for Atari.mp4 8.5 MB
5. Additional Implementation Details for Atari.vtt 6.2 KB
6. Deep Q-Learning in Tensorflow for Breakout.mp4 15.8 MB
6. Deep Q-Learning in Tensorflow for Breakout.vtt 6.1 KB
7. Deep Q-Learning in Theano for Breakout.mp4 20.0 MB
7. Deep Q-Learning in Theano for Breakout.vtt 7.1 KB
8. Partially Observable MDPs.mp4 7.6 MB
8. Partially Observable MDPs.vtt 5.1 KB
9. Deep Q-Learning Section Summary.mp4 10.4 MB
9. Deep Q-Learning Section Summary.vtt 5.3 KB
1. A3C - Theory and Outline.mp4 71.8 MB
1. A3C - Theory and Outline.vtt 17.9 KB
2. A3C - Code pt 1 (Warmup).mp4 50.1 MB
2. A3C - Code pt 1 (Warmup).vtt 6.8 KB
3. A3C - Code pt 2.mp4 57.6 MB
3. A3C - Code pt 2.vtt 7.3 KB
4. A3C - Code pt 3.mp4 84.5 MB
4. A3C - Code pt 3.vtt 8.0 KB
5. A3C - Code pt 4.mp4 184.4 MB
5. A3C - Code pt 4.vtt 18.6 KB
6. A3C - Section Summary.mp4 8.9 MB
6. A3C - Section Summary.vtt 2.4 KB
7. Course Summary.mp4 9.4 MB
7. Course Summary.vtt 5.3 KB
1. (Review) Theano Basics.mp4 93.4 MB
1. (Review) Theano Basics.vtt 6.3 KB
2. (Review) Theano Neural Network in Code.mp4 87.0 MB
2. (Review) Theano Neural Network in Code.vtt 3.3 KB
3. (Review) Tensorflow Basics.mp4 81.4 MB
3. (Review) Tensorflow Basics.vtt 5.1 KB
4. (Review) Tensorflow Neural Network in Code.mp4 97.3 MB
4. (Review) Tensorflow Neural Network in Code.vtt 4.8 KB
1. What is the Appendix.mp4 5.5 MB
1. What is the Appendix.vtt 3.3 KB
10. Python 2 vs Python 3.mp4 7.8 MB
10. Python 2 vs Python 3.vtt 5.4 KB
11. Is Theano Dead.mp4 17.8 MB
11. Is Theano Dead.vtt 11.3 KB
12. What order should I take your courses in (part 1).mp4 29.3 MB
12. What order should I take your courses in (part 1).vtt 14.1 KB
13. What order should I take your courses in (part 2).mp4 37.6 MB
13. What order should I take your courses in (part 2).vtt 20.2 KB
2. Where to get Udemy coupons and FREE deep learning material.mp4 4.0 MB
2. Where to get Udemy coupons and FREE deep learning material.vtt 3.0 KB
3. Windows-Focused Environment Setup 2018.mp4 186.2 MB
3. Windows-Focused Environment Setup 2018.vtt 17.4 KB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.4 KB
5. How to Code by Yourself (part 1).mp4 24.5 MB
5. How to Code by Yourself (part 1).vtt 19.8 KB
6. How to Code by Yourself (part 2).mp4 14.8 MB
6. How to Code by Yourself (part 2).vtt 11.6 KB
7. How to Succeed in this Course (Long Version).mp4 18.3 MB
7. How to Succeed in this Course (Long Version).vtt 12.8 KB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.8 KB
9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
9. Proof that using Jupyter Notebook is the same as not using it.vtt 12.2 KB
[CourseClub.NET].url 123 bytes
[FCS Forum].url 133 bytes
[FreeCourseSite.com].url 127 bytes

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