种子简介
种子名称:
Deep Reinforcement Learning 2.0
文件类型:
视频
文件数目:
56个文件
文件大小:
4.72 GB
收录时间:
2020-6-1 10:54
已经下载:
3次
资源热度:
95
最近下载:
2024-10-23 22:34
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种子包含的文件
Deep Reinforcement Learning 2.0.torrent
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/2. The Q-Learning part.mp4176.62MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/1. Welcome.mp4123.76MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/3. Q-Learning.mp481.46MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/4. Deep Q-Learning.mp468.8MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/5. Policy Gradient.mp459.98MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/6. Actor-Critic.mp437.23MB
Deep Reinforcement Learning 2.0/1. Part 1 - Fundamentals/7. Taxonomy of AI models.mp455.41MB
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/1. Introduction and Initialization.mp4124.7MB
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/3. The Policy Learning part.mp4165.08MB
Deep Reinforcement Learning 2.0/2. Part 2 - Twin Delayed DDPG Theory/4. The whole training process.mp445.21MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/2. Beginning.mp438.87MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/3. Implementation - Step 1.mp4139.28MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/4. Implementation - Step 2.mp4141.15MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/5. Implementation - Step 3.mp4127.89MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/6. Implementation - Step 4.mp4137.82MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/7. Implementation - Step 5.mp4104.72MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/8. Implementation - Step 6.mp4100.42MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/9. Implementation - Step 7.mp445.01MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/10. Implementation - Step 8.mp479.07MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/11. Implementation - Step 9.mp444.57MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/12. Implementation - Step 10.mp442.68MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/13. Implementation - Step 11.mp484.76MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/14. Implementation - Step 12.mp445.08MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/15. Implementation - Step 13.mp464.94MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/16. Implementation - Step 14.mp482.35MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/17. Implementation - Step 15.mp4162.45MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/18. Implementation - Step 16.mp4106.14MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/19. Implementation - Step 17.mp473.98MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/20. Implementation - Step 18.mp4147MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/21. Implementation - Step 19.mp4131.65MB
Deep Reinforcement Learning 2.0/3. Part 3 - Twin Delayed DDPG Implementation/22. Implementation - Step 20.mp463.03MB
Deep Reinforcement Learning 2.0/4. The Final Demo!/1. Demo - Training.mp4175.54MB
Deep Reinforcement Learning 2.0/4. The Final Demo!/2. Demo - Inference.mp4119.53MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/1. Plan of Attack.mp411.85MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/2. The Neuron.mp498.78MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/3. The Activation Function.mp445.37MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/4. How do Neural Networks Work.mp481.96MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/5. How do Neural Networks Learn.mp4112.18MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/6. Gradient Descent.mp460.59MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/7. Stochastic Gradient Descent.mp467.28MB
Deep Reinforcement Learning 2.0/5. Annex 1 - Artificial Neural Networks/8. Backpropagation.mp443.12MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/1. Plan of Attack.mp418.55MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/2. What is Reinforcement Learning.mp468.59MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/3. The Bellman Equation.mp495.08MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/4. The Plan.mp412.43MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/5. Markov Decision Process.mp494.33MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/6. Policy vs Plan.mp471.71MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/7. Living Penalty.mp461.4MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/8. Q-Learning Intuition.mp479.09MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/9. Temporal Difference.mp497.17MB
Deep Reinforcement Learning 2.0/6. Annex 2 - Q-Learning/10. Q-Learning Visualization.mp4110MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/1. Plan of Attack.mp48.7MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/2. Deep Q-Learning Intuition - Step 1.mp4100.19MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/3. Deep Q-Learning Intuition - Step 2.mp443.17MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/4. Experience Replay.mp4115.08MB
Deep Reinforcement Learning 2.0/7. Annex 3 - Deep Q-Learning/5. Action Selection Policies.mp4137.13MB