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

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Udemy - Advanced AI: Deep Reinforcement Learning in Python [Desire Course] (Size: 2.3 GB)
  1. (Review) Theano Basics.mp4 93.4 MB
  1. (Review) Theano Basics.srt 7.2 KB
  1. A3C - Theory and Outline.mp4 71.8 MB
  1. A3C - Theory and Outline.srt 20.3 KB
  1. Deep Q-Learning Intro.mp4 5.9 MB
  1. Deep Q-Learning Intro.srt 4.8 KB
  1. Introduction and Outline.mp4 15.8 MB
  1. Introduction and Outline.srt 14.5 KB
  1. N-Step Methods.mp4 5 MB
  1. N-Step Methods.srt 3.8 KB
  1. OpenAI Gym Tutorial.mp4 8.7 MB
  1. OpenAI Gym Tutorial.srt 7.7 KB
  1. Policy Gradient Methods.mp4 17.9 MB
  1. Policy Gradient Methods.srt 14.8 KB
  1. Review Intro.mp4 4.2 MB
  1. Review Intro.srt 3.5 KB
  1. What is the Appendix.mp4 5.5 MB
  1. What is the Appendix.srt 3.7 KB
  10. Deep Q-Learning Section Summary.mp4 10.4 MB
  10. Deep Q-Learning Section Summary.srt 6 KB
  10. Is Theano Dead.mp4 17.8 MB
  10. Is Theano Dead.srt 12.9 KB
  10. Policy Gradient Section Summary.mp4 3.3 MB
  10. Policy Gradient Section Summary.srt 1.9 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
  11. What order should I take your courses in (part 1).mp4 29.3 MB
  11. What order should I take your courses in (part 1).srt 16 KB
  12. Plugging in a Neural Network.mp4 5.9 MB
  12. Plugging in a Neural Network.srt 4.8 KB
  12. What order should I take your courses in (part 2).mp4 37.6 MB
  12. What order should I take your courses in (part 2).srt 23 KB
  13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.8 MB
  13. BONUS Where to get Udemy coupons and FREE deep learning material.srt 7.9 KB
  13. OpenAI Gym Section Summary.mp4 5.3 MB
  13. OpenAI Gym Section Summary.srt 4.2 KB
  2. (Review) Theano Neural Network in Code.mp4 87 MB
  2. (Review) Theano Neural Network in Code.srt 3.8 KB
  2. A3C - Code pt 1 (Warmup).mp4 50.1 MB
  2. A3C - Code pt 1 (Warmup).srt 7.8 KB
  2. Deep Q-Learning Techniques.mp4 14.4 MB
  2. Deep Q-Learning Techniques.srt 12.3 KB
  2. N-Step in Code.mp4 9.5 MB
  2. N-Step in Code.srt 4.2 KB
  2. Policy Gradient in TensorFlow for CartPole.mp4 18 MB
  2. Policy Gradient in TensorFlow for CartPole.srt 8.7 KB
  2. Random Search.mp4 10.3 MB
  2. Random Search.srt 6.9 KB
  2. Review of Markov Decision Processes.mp4 12.3 MB
  2. Review of Markov Decision Processes.srt 10.1 KB
  2. Where to get the Code.mp4 5.2 MB
  2. Where to get the Code.srt 4.6 KB
  2. Windows-Focused Environment Setup 2018.mp4 186.2 MB
  2. Windows-Focused Environment Setup 2018.srt 20.1 KB
  3. (Review) Tensorflow Basics.mp4 81.4 MB
  3. (Review) Tensorflow Basics.srt 5.9 KB
  3. A3C - Code pt 2.mp4 57.6 MB
  3. A3C - Code pt 2.srt 8.3 KB
  3. Deep Q-Learning in Tensorflow for CartPole.mp4 15 MB
  3. Deep Q-Learning in Tensorflow for CartPole.srt 5.8 KB
  3. How to Succeed in this Course.mp4 3.3 MB
  3. How to Succeed in this Course.srt 4 KB
  3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB
  3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.5 KB
  3. Policy Gradient in Theano for CartPole.mp4 13.4 MB
  3. Policy Gradient in Theano for CartPole.srt 4.5 KB
  3. Review of Dynamic Programming.mp4 6.5 MB
  3. Review of Dynamic Programming.srt 5.3 KB
  3. Saving a Video.mp4 4.5 MB
  3. Saving a Video.srt 2.4 KB
  3. TD Lambda.mp4 11.8 MB
  3. TD Lambda.srt 9.3 KB
  4. (Review) Tensorflow Neural Network in Code.mp4 97.3 MB
  4. (Review) Tensorflow Neural Network in Code.srt 5.5 KB
  4. A3C - Code pt 3.mp4 84.5 MB
  4. A3C - Code pt 3.srt 9 KB
  4. CartPole with Bins (Theory).mp4 6 MB
  4. CartPole with Bins (Theory).srt 5.2 KB
  4. Continuous Action Spaces.mp4 6.6 MB
  4. Continuous Action Spaces.srt 5.3 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
  4. How to Code by Yourself (part 1).mp4 24.5 MB
  4. How to Code by Yourself (part 1).srt 22.8 KB
  4. Review of Monte Carlo Methods.mp4 6.2 MB
  4. Review of Monte Carlo Methods.srt 5 KB
  4. TD Lambda in Code.mp4 7.6 MB
  4. TD Lambda in Code.srt 3.3 KB
  4. Tensorflow or Theano - Your Choice!.mp4 18.9 MB
  4. Tensorflow or Theano - Your Choice!.srt 5.4 KB
  5. A3C - Code pt 4.mp4 184.3 MB
  5. A3C - Code pt 4.srt 21.2 KB
  5. Additional Implementation Details for Atari.mp4 8.5 MB
  5. Additional Implementation Details for Atari.srt 7 KB
  5. CartPole with Bins (Code).mp4 14.7 MB
  5. CartPole with Bins (Code).srt 8 KB
  5. How to Code by Yourself (part 2).mp4 14.8 MB
  5. How to Code by Yourself (part 2).srt 13.3 KB
  5. Mountain Car Continuous Specifics.mp4 6.5 MB
  5. Mountain Car Continuous Specifics.srt 5 KB
  5. Review of Temporal Difference Learning.mp4 18.5 MB
  5. Review of Temporal Difference Learning.srt 5.9 KB
  5. TD Lambda Summary.mp4 3.6 MB
  5. TD Lambda Summary.srt 3 KB
  6. A3C - Section Summary.mp4 8.9 MB
  6. A3C - Section Summary.srt 2.6 KB
  6. How to Succeed in this Course (Long Version).mp4 18.3 MB
  6. How to Succeed in this Course (Long Version).srt 14.5 KB
  6. Mountain Car Continuous Theano.mp4 19.1 MB
  6. Mountain Car Continuous Theano.srt 9.9 KB
  6. Pseudocode and Replay Memory.mp4 27.8 MB
  6. Pseudocode and Replay Memory.srt 7.8 KB
  6. RBF Neural Networks.mp4 16.5 MB
  6. RBF Neural Networks.srt 14.6 KB
  6. Review of Approximation Methods for Reinforcement Learning.mp4 3.7 MB
  6. Review of Approximation Methods for Reinforcement Learning.srt 2.8 KB
  7. Course Summary.mp4 9.4 MB
  7. Course Summary.srt 6 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
  7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39 MB
  7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.8 KB
  7. Mountain Car Continuous Tensorflow.mp4 20.1 MB
  7. Mountain Car Continuous Tensorflow.srt 10.3 KB
  7. RBF Networks with Mountain Car (Code).mp4 13.8 MB
  7. RBF Networks with Mountain Car (Code).srt 6.4 KB
  7. Review of Deep Learning.mp4 11 MB
  7. Review of Deep Learning.srt 9.2 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
  8. Mountain Car Continuous Tensorflow (v2).mp4 18.8 MB
  8. Mountain Car Continuous Tensorflow (v2).srt 7.1 KB
  8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.2 MB
  8. Proof that using Jupyter Notebook is the same as not using it.srt 14.1 KB
  8. RBF Networks with CartPole (Theory).mp4 3.1 MB
  8. RBF Networks with CartPole (Theory).srt 2.4 KB
  9. Mountain Car Continuous Theano (v2).mp4 22.2 MB
  9. Mountain Car Continuous Theano (v2).srt 8.3 KB
  9. Partially Observable MDPs.mp4 7.6 MB
  9. Partially Observable MDPs.srt 5.8 KB
  9. Python 2 vs Python 3.mp4 7.8 MB
  9. Python 2 vs Python 3.srt 6.1 KB
  9. RBF Networks with CartPole (Code).mp4 8.9 MB
  9. RBF Networks with CartPole (Code).srt 3.6 KB
  [CourseClub.Me].url 0 B
  [DesireCourse.Net].url 0 B
  [FreeCourseWorld.Com].url 102 B
  ▲ 149 total files

Description


Advanced AI: Deep Reinforcement Learning in Python

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

For More Courses Visit: https://desirecourse.net

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