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Udemy - Cutting-Edge AI: Deep Reinforcement Learning in Python

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Udemy - Cutting-Edge AI: Deep Reinforcement Learning in Python (Size: 3.31 GB)
  1. Welcome
  1. Introduction.mp4 29.55 MB
  1. Introduction.vtt 4.43 KB
  2. Outline.mp4 54.25 MB
  2. Outline.vtt 9.31 KB
  3. Where to get the code.mp4 24.45 MB
  3. Where to get the code.vtt 5.58 KB
  2. Review of Fundamental Reinforcement Learning Concepts
  1. Review Section Introduction.mp4 18.88 MB
  1. Review Section Introduction.vtt 4.57 KB
  2. The Explore-Exploit Dilemma.mp4 71.63 MB
  2. The Explore-Exploit Dilemma.vtt 15.53 KB
  3. Markov Decision Processes (MDPs).mp4 108.66 MB
  3. Markov Decision Processes (MDPs).vtt 22.28 KB
  4. Monte Carlo Methods.mp4 32.07 MB
  4. Monte Carlo Methods.vtt 8.5 KB
  5. Temporal Difference Learning (TD).mp4 78.57 MB
  5. Temporal Difference Learning (TD).vtt 18.56 KB
  6. OpenAI Gym Warmup.mp4 49.72 MB
  6. OpenAI Gym Warmup.vtt 7.24 KB
  7. Review Section Summary.mp4 31.17 MB
  7. Review Section Summary.vtt 8.34 KB
  3. A2C (Advantage Actor-Critic)
  1. A2C Section Introduction.mp4 61.3 MB
  1. A2C Section Introduction.vtt 9.21 KB
  10. A2C.mp4 192.28 MB
  10. A2C.vtt 19.74 KB
  11. A2C Section Summary.mp4 32.72 MB
  11. A2C Section Summary.vtt 7.8 KB
  2. A2C Theory (part 1).mp4 96.21 MB
  2. A2C Theory (part 1).vtt 22.8 KB
  3. A2C Theory (part 2).mp4 32.59 MB
  3. A2C Theory (part 2).vtt 7.95 KB
  4. A2C Theory (part 3).mp4 14.22 MB
  4. A2C Theory (part 3).vtt 3.41 KB
  5. A2C Demo.mp4 27.42 MB
  5. A2C Demo.vtt 2.45 KB
  6. A2C Code - Rough Sketch.mp4 28.49 MB
  6. A2C Code - Rough Sketch.vtt 8.12 KB
  7. Multiple Processes.mp4 70.09 MB
  7. Multiple Processes.vtt 9.58 KB
  8. Environment Wrappers.mp4 128.58 MB
  8. Environment Wrappers.vtt 13.31 KB
  9. Convolutional Neural Network.mp4 45.66 MB
  9. Convolutional Neural Network.vtt 6.07 KB
  4. DDPG (Deep Deterministic Policy Gradient)
  1. DDPG Section Introduction.mp4 23.92 MB
  1. DDPG Section Introduction.vtt 3.89 KB
  2. Deep Q-Learning (DQN) Review.mp4 45.16 MB
  2. Deep Q-Learning (DQN) Review.vtt 10.48 KB
  3. DDPG Theory.mp4 80.68 MB
  3. DDPG Theory.vtt 20 KB
  4. MuJoCo.mp4 110.45 MB
  4. MuJoCo.vtt 21.08 KB
  5. DDPG Code (part 1).mp4 193.58 MB
  5. DDPG Code (part 1).vtt 19.97 KB
  6. DDPG Code (part 2).mp4 64.82 MB
  6. DDPG Code (part 2).vtt 6.18 KB
  7. DDPG Section Summary.mp4 17.6 MB
  7. DDPG Section Summary.vtt 4.65 KB
  5. ES (Evolution Strategies)
  1. ES Section Introduction.mp4 44.86 MB
  1. ES Section Introduction.vtt 7.54 KB
  2. ES Theory.mp4 108.21 MB
  2. ES Theory.vtt 22.38 KB
  3. Notes on Evolution Strategies.mp4 53.1 MB
  3. Notes on Evolution Strategies.vtt 10.1 KB
  4. ES for Optimizing a Function.mp4 46.51 MB
  4. ES for Optimizing a Function.vtt 6.75 KB
  5. ES for Supervised Learning.mp4 55.16 MB
  5. ES for Supervised Learning.vtt 6.67 KB
  6. Flappy Bird.mp4 60.92 MB
  6. Flappy Bird.vtt 13.75 KB
  7. ES for Flappy Bird in Code.mp4 142.23 MB
  7. ES for Flappy Bird in Code.vtt 15.53 KB
  8. ES for MuJoCo in Code.mp4 68.63 MB
  8. ES for MuJoCo in Code.vtt 8.06 KB
  9. ES Section Summary.mp4 28.64 MB
  9. ES Section Summary.vtt 5.68 KB
  6. Appendix FAQ
  1. What is the Appendix.mp4 18.07 MB
  1. What is the Appendix.vtt 3.29 KB
  10. What order should I take your courses in (part 1).mp4 99.39 MB
  10. What order should I take your courses in (part 1).vtt 14.17 KB
  11. What order should I take your courses in (part 2).mp4 139.37 MB
  11. What order should I take your courses in (part 2).vtt 20.24 KB
  2. Windows-Focused Environment Setup 2018.mp4 194.34 MB
  2. Windows-Focused Environment Setup 2018.vtt 17.33 KB
  3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 167.01 MB
  3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.59 KB
  4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.54 MB
  4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.68 KB
  5. How to Succeed in this Course (Long Version).mp4 39.26 MB
  5. How to Succeed in this Course (Long Version).vtt 12.83 KB
  6. How to Code by Yourself (part 1).mp4 82.57 MB
  6. How to Code by Yourself (part 1).vtt 19.38 KB
  7. How to Code by Yourself (part 2).mp4 56.7 MB
  7. How to Code by Yourself (part 2).vtt 11.44 KB
  8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.27 MB
  8. Proof that using Jupyter Notebook is the same as not using it.vtt 12.31 KB
  9. Python 2 vs Python 3.mp4 18.98 MB
  9. Python 2 vs Python 3.vtt 5.35 KB
  GetFreeCourses.Me.url 116 B
  How you can help GetFreeCourses.Me.txt 182 B

Description


Download Paid Udemy Courses For Free: GetFreeCourses.Me

8.5 hours on-demand video


Requirements

Know the basics of MDPs (Markov Decision Processes) and Reinforcement Learning
Helpful to have seen my first two Reinforcement Learning courses
Know how to build a convolutional neural network in Tensorflow

Description

Welcome to Cutting-Edge AI!


This is technically Deep Learning in Python part 11 of my deep learning series, and my 3rd reinforcement learning course.

Read More At: https://www.udemy.com/course/cutting-edge-artificial-intelligence/

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