Don't like banners? Log in and we will make sure you see no banners. For free.
No cover art

[DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python

Size
2.3 GB
Seeders
1
Leechers
0
Files
99
Category
Added
at 5:53am GMT+1
Infohash
af0a3b27fb2de5a655be10656280ded35c202b77
Don't like banners? Log in and we will make sure you see no banners. For free.

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

File list
  • [DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python
  • 1. Introduction and Logistics/1. Introduction and Outline.mp4 15.8 MB
  • 1. Introduction and Logistics/1. Introduction and Outline.srt 14.5 KB
  • 1. Introduction and Logistics/2. Where to get the Code.mp4 5.2 MB
  • 1. Introduction and Logistics/2. Where to get the Code.srt 4.6 KB
  • 1. Introduction and Logistics/3. How to Succeed in this Course.mp4 3.3 MB
  • 1. Introduction and Logistics/3. How to Succeed in this Course.srt 4 KB
  • 1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.mp4 18.9 MB
  • 1. Introduction and Logistics/4. Tensorflow or Theano - Your Choice!.srt 5.4 KB
  • 2. Background Review/1. Review Intro.mp4 4.2 MB
  • 2. Background Review/1. Review Intro.srt 3.5 KB
  • 2. Background Review/2. Review of Markov Decision Processes.mp4 12.3 MB
  • 2. Background Review/2. Review of Markov Decision Processes.srt 10.1 KB
  • 2. Background Review/3. Review of Dynamic Programming.mp4 6.5 MB
  • 2. Background Review/3. Review of Dynamic Programming.srt 5.3 KB
  • 2. Background Review/4. Review of Monte Carlo Methods.mp4 6.2 MB
  • 2. Background Review/4. Review of Monte Carlo Methods.srt 5 KB
  • 2. Background Review/5. Review of Temporal Difference Learning.mp4 18.5 MB
  • 2. Background Review/5. Review of Temporal Difference Learning.srt 5.9 KB
  • 2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.mp4 3.7 MB
  • 2. Background Review/6. Review of Approximation Methods for Reinforcement Learning.srt 2.8 KB
  • 2. Background Review/7. Review of Deep Learning.mp4 11 MB
  • 2. Background Review/7. Review of Deep Learning.srt 9.2 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.mp4 8.7 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/1. OpenAI Gym Tutorial.srt 7.7 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.mp4 5.8 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/10. Theano Warmup.srt 3.5 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.mp4 5.1 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/11. Tensorflow Warmup.srt 2.5 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.mp4 5.9 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/12. Plugging in a Neural Network.srt 4.8 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.mp4 5.3 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/13. OpenAI Gym Section Summary.srt 4.2 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.mp4 10.3 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/2. Random Search.srt 6.9 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.mp4 4.5 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/3. Saving a Video.srt 2.4 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).mp4 6 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/4. CartPole with Bins (Theory).srt 5.2 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).mp4 14.7 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/5. CartPole with Bins (Code).srt 8 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.mp4 16.5 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/6. RBF Neural Networks.srt 14.6 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).mp4 13.8 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/7. RBF Networks with Mountain Car (Code).srt 6.4 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).mp4 3.1 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/8. RBF Networks with CartPole (Theory).srt 2.4 KB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).mp4 8.9 MB
  • 3. OpenAI Gym and Basic Reinforcement Learning Techniques/9. RBF Networks with CartPole (Code).srt 3.6 KB
  • 4. TD Lambda/1. N-Step Methods.mp4 5 MB
  • 4. TD Lambda/1. N-Step Methods.srt 3.8 KB
  • 4. TD Lambda/2. N-Step in Code.mp4 9.5 MB
  • 4. TD Lambda/2. N-Step in Code.srt 4.2 KB
  • 4. TD Lambda/3. TD Lambda.mp4 11.8 MB
  • 4. TD Lambda/3. TD Lambda.srt 9.3 KB
  • 4. TD Lambda/4. TD Lambda in Code.mp4 7.6 MB
  • 4. TD Lambda/4. TD Lambda in Code.srt 3.3 KB
  • 4. TD Lambda/5. TD Lambda Summary.mp4 3.6 MB
  • 4. TD Lambda/5. TD Lambda Summary.srt 3 KB
  • 5. Policy Gradients/1. Policy Gradient Methods.mp4 17.9 MB
  • 5. Policy Gradients/1. Policy Gradient Methods.srt 14.8 KB
  • 5. Policy Gradients/10. Policy Gradient Section Summary.mp4 3.3 MB
  • 5. Policy Gradients/10. Policy Gradient Section Summary.srt 1.9 KB
  • 5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.mp4 18 MB
  • 5. Policy Gradients/2. Policy Gradient in TensorFlow for CartPole.srt 8.7 KB
  • 5. Policy Gradients/3. Policy Gradient in Theano for CartPole.mp4 13.4 MB
  • 5. Policy Gradients/3. Policy Gradient in Theano for CartPole.srt 4.5 KB
  • 5. Policy Gradients/4. Continuous Action Spaces.mp4 6.6 MB
  • 5. Policy Gradients/4. Continuous Action Spaces.srt 5.3 KB
  • 5. Policy Gradients/5. Mountain Car Continuous Specifics.mp4 6.5 MB
  • 5. Policy Gradients/5. Mountain Car Continuous Specifics.srt 5 KB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.mp4 19.1 MB
  • 5. Policy Gradients/6. Mountain Car Continuous Theano.srt 9.9 KB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.mp4 20.1 MB
  • 5. Policy Gradients/7. Mountain Car Continuous Tensorflow.srt 10.3 KB
  • 5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).mp4 18.8 MB
  • 5. Policy Gradients/8. Mountain Car Continuous Tensorflow (v2).srt 7.1 KB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).mp4 22.2 MB
  • 5. Policy Gradients/9. Mountain Car Continuous Theano (v2).srt 8.3 KB
  • 6. Deep Q-Learning/1. Deep Q-Learning Intro.mp4 5.9 MB
  • 6. Deep Q-Learning/1. Deep Q-Learning Intro.srt 4.8 KB
  • 6. Deep Q-Learning/10. Deep Q-Learning Section Summary.mp4 10.4 MB
  • 6. Deep Q-Learning/10. Deep Q-Learning Section Summary.srt 6 KB
  • 6. Deep Q-Learning/2. Deep Q-Learning Techniques.mp4 14.4 MB
  • 6. Deep Q-Learning/2. Deep Q-Learning Techniques.srt 12.3 KB
  • 6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.mp4 15 MB
  • 6. Deep Q-Learning/3. Deep Q-Learning in Tensorflow for CartPole.srt 5.8 KB
  • 6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.mp4 13.8 MB
  • 6. Deep Q-Learning/4. Deep Q-Learning in Theano for CartPole.srt 5.4 KB
  • 6. Deep Q-Learning/5. Additional Implementation Details for Atari.mp4 8.5 MB
  • 6. Deep Q-Learning/5. Additional Implementation Details for Atari.srt 7 KB
  • 6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 27.8 MB
  • 6. Deep Q-Learning/6. Pseudocode and Replay Memory.srt 7.8 KB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 234.6 MB
  • 6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.srt 28.2 KB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 233.7 MB
  • 6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.srt 28.1 KB
  • 6. Deep Q-Learning/9. Partially Observable MDPs.mp4 7.6 MB
  • 6. Deep Q-Learning/9. Partially Observable MDPs.srt 5.8 KB
  • 7. A3C/1. A3C - Theory and Outline.mp4 71.8 MB

Rating
Not rated yet
Log in to rate

Comments

No comments yet.


Similar torrents
NameSizeDate
2.9 GB47
739 MB20
1.6 GB10
5.4 GB10
3.3 GB10
3.2 GB10
337 MB01
385 MB02
500 MB01
2.3 GB01
900 MB01
3.7 GB02
522 MB01
1.2 GB01
554 MB01