磁力狗
导航切换
首页
最新地址
最新地址
最新地址
最新地址
搜索磁力
BT种子名称
[ DevCourseWeb.com ] Udemy - Advanced Reinforcement Learning in Python - cutting-edge DQNs
请保存以下最新地址
clgou.icu
clgougou.cyou
clg.dog
磁力.dog
BT种子基本信息
种子哈希:
aeee5efd07e93d9cdfd0364549553eb4ef7059d7
文档大小:
1.7 GB
文档个数:
142
个文档
下载次数:
1803
次
下载速度:
极快
收录时间:
2022-04-09
最近下载:
2024-12-19
DMCA/屏蔽:
DMCA/屏蔽
下载磁力链接
magnet:?xt=urn:btih:AEEE5EFD07E93D9CDFD0364549553EB4EF7059D7
复制磁力链接到
PikPak
、utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。
下载BT种子
磁力链接
种子下载
迅雷下载
二维码
YouTube成人版
91视频
91短视频
51品茶
逼哩逼哩
萝莉岛
欲漫涩
草榴社区
含羞草
抖阴破解版
TikTok成人版
成人快手
乱伦社区
91AV
暗网禁地
文档列表
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.mp4
72.5 MB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.mp4
66.7 MB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.mp4
66.4 MB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.mp4
65.6 MB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.mp4
57.2 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.mp4
57.0 MB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.mp4
52.4 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.mp4
52.3 MB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.mp4
52.2 MB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.mp4
44.6 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.mp4
43.3 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.mp4
40.6 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.mp4
40.0 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.mp4
38.4 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.mp4
38.2 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.mp4
38.1 MB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.mp4
36.8 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.mp4
35.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.mp4
34.0 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
33.9 MB
~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.mp4
33.8 MB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.mp4
33.7 MB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.mp4
33.6 MB
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.mp4
32.4 MB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.mp4
31.9 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.mp4
31.3 MB
~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.mp4
30.5 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.mp4
26.9 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).mp4
26.3 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.mp4
25.5 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.mp4
24.5 MB
~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.mp4
24.1 MB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.mp4
24.0 MB
~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.mp4
22.0 MB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.mp4
21.3 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.mp4
20.1 MB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.mp4
19.4 MB
~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.mp4
18.9 MB
~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.mp4
17.6 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.mp4
17.4 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.mp4
17.0 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.mp4
15.5 MB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.mp4
15.2 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.mp4
14.8 MB
~Get Your Files Here !/8. Double Deep Q-Learning/1. Maximization bias and Double Deep Q-Learning.mp4
14.5 MB
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.mp4
13.2 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.mp4
13.0 MB
~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.mp4
11.6 MB
~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.mp4
9.6 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.mp4
9.4 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.mp4
9.1 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.mp4
7.8 MB
~Get Your Files Here !/1. Introduction/3. Google Colab.mp4
6.1 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.mp4
5.6 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.mp4
5.2 MB
~Get Your Files Here !/1. Introduction/4. Where to begin.mp4
4.8 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).mp4
4.5 MB
~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.mp4
3.9 MB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.mp4
2.7 MB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.mp4
1.9 MB
~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.mp4
1.6 MB
~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.mp4
1.3 MB
~Get Your Files Here !/1. Introduction/1. Introduction.mp4.jpg
179.0 kB
~Get Your Files Here !/10. Prioritized Experience Replay/3. DQN for visual inputs.srt
15.5 kB
~Get Your Files Here !/10. Prioritized Experience Replay/4. Prioritized Experience Repay Buffer.srt
15.4 kB
~Get Your Files Here !/10. Prioritized Experience Replay/5. Create the environment.srt
14.3 kB
~Get Your Files Here !/6. PyTorch Lightning/8. Define the class for the Deep Q-Learning algorithm.srt
14.0 kB
~Get Your Files Here !/10. Prioritized Experience Replay/6. Implement the Deep Q-Learning algorithm with Prioritized Experience Replay.srt
13.2 kB
~Get Your Files Here !/9. Dueling Deep Q-Networks/3. Create the dueling DQN.srt
11.9 kB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/1. Hyperparameter tuning with Optuna.srt
11.2 kB
~Get Your Files Here !/6. PyTorch Lightning/11. Define the train_step() method.srt
11.1 kB
~Get Your Files Here !/6. PyTorch Lightning/1. PyTorch Lightning.srt
10.7 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/2. Function approximators.srt
10.0 kB
~Get Your Files Here !/9. Dueling Deep Q-Networks/4. Create the environment - Part 1.srt
9.2 kB
~Get Your Files Here !/6. PyTorch Lightning/7. Create the environment.srt
9.1 kB
~Get Your Files Here !/8. Double Deep Q-Learning/3. Create the Double Deep Q-Learning algorithm.srt
8.7 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/5. How to represent a Neural Network.srt
8.4 kB
~Get Your Files Here !/6. PyTorch Lightning/13. Train the Deep Q-Learning algorithm.srt
7.7 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/6. Stochastic Gradient Descent.srt
7.4 kB
~Get Your Files Here !/6. PyTorch Lightning/3. Introduction to PyTorch Lightning.srt
7.1 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/2. Elements common to all control tasks.srt
7.0 kB
~Get Your Files Here !/9. Dueling Deep Q-Networks/6. Implement Deep Q-Learning.srt
6.8 kB
~Get Your Files Here !/9. Dueling Deep Q-Networks/5. Create the environment - Part 2.srt
6.8 kB
~Get Your Files Here !/6. PyTorch Lightning/6. Create the replay buffer.srt
6.7 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/4. Artificial Neurons.srt
6.7 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/3. The Markov decision process (MDP).srt
6.5 kB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/4. Define the objective function.srt
6.3 kB
~Get Your Files Here !/6. PyTorch Lightning/4. Create the Deep Q-Network.srt
6.1 kB
~Get Your Files Here !/10. Prioritized Experience Replay/7. Launch the training process.srt
5.9 kB
~Get Your Files Here !/6. PyTorch Lightning/5. Create the policy.srt
5.9 kB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/3. Log average return.srt
5.7 kB
~Get Your Files Here !/6. PyTorch Lightning/9. Define the play_episode() function.srt
5.6 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/7. Neural Network optimization.srt
5.1 kB
~Get Your Files Here !/6. PyTorch Lightning/10. Prepare the data loader and the optimizer.srt
5.0 kB
~Get Your Files Here !/6. PyTorch Lightning/12. Define the train_epoch_end() method.srt
4.8 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/7. Discount factor.srt
4.7 kB
~Get Your Files Here !/5. Refresher Deep Q-Learning/4. Target Network.srt
4.7 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/3. Artificial Neural Networks.srt
4.5 kB
~Get Your Files Here !/3. Refresher Q-Learning/2. Temporal difference methods.srt
4.2 kB
~Get Your Files Here !/3. Refresher Q-Learning/3. Solving control tasks with temporal difference method.srt
4.2 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/11. Solving a Markov decision process.srt
3.7 kB
~Get Your Files Here !/6. PyTorch Lightning/14. Explore the resulting agent.srt
3.7 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/10. Bellman equations.srt
3.5 kB
~Get Your Files Here !/5. Refresher Deep Q-Learning/2. Deep Q-Learning.srt
3.4 kB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/5. Create and launch the hyperparameter tuning job.srt
3.3 kB
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/6. Explore the best trial.srt
3.1 kB
~Get Your Files Here !/3. Refresher Q-Learning/4. Q-Learning.srt
2.9 kB
~Get Your Files Here !/9. Dueling Deep Q-Networks/7. Check the resulting agent.srt
2.8 kB
~Get Your Files Here !/5. Refresher Deep Q-Learning/3. Experience replay.srt
2.6 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/4. Types of Markov decision process.srt
2.5 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/8. Policy.srt
2.4 kB
~Get Your Files Here !/1. Introduction/4. Where to begin.srt
2.1 kB
~Get Your Files Here !/1. Introduction/3. Google Colab.srt
2.0 kB
~Get Your Files Here !/10. Prioritized Experience Replay/8. Check the resulting agent.srt
2.0 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/6. Reward vs Return.srt
1.9 kB
~Get Your Files Here !/8. Double Deep Q-Learning/4. Check the resulting agent.srt
1.8 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/9. State values v(s) and action values q(s,a).srt
1.3 kB
~Get Your Files Here !/3. Refresher Q-Learning/5. Advantages of temporal difference methods.srt
1.3 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/5. Trajectory vs episode.srt
1.3 kB
~Get Your Files Here !/2. Refresher The Markov Decision Process (MDP)/1. Module overview.srt
1.2 kB
~Get Your Files Here !/4. Refresher Brief introduction to Neural Networks/1. Module overview.srt
850 Bytes
~Get Your Files Here !/3. Refresher Q-Learning/1. Module overview.srt
798 Bytes
~Get Your Files Here !/5. Refresher Deep Q-Learning/1. Module overview.srt
602 Bytes
~Get Your Files Here !/Bonus Resources.txt
386 Bytes
~Get Your Files Here !/1. Introduction/2. Reinforcement Learning series.html
377 Bytes
Get Bonus Downloads Here.url
182 Bytes
~Get Your Files Here !/6. PyTorch Lightning/2.1 Google colab.html
176 Bytes
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/2.1 Google colab.html
176 Bytes
~Get Your Files Here !/6. PyTorch Lightning/2. Link to the code notebook.html
169 Bytes
~Get Your Files Here !/7. Hyperparameter tuning with Optuna/2. Link to the code notebook.html
169 Bytes
~Get Your Files Here !/8. Double Deep Q-Learning/2. Link to the code notebook.html
169 Bytes
~Get Your Files Here !/9. Dueling Deep Q-Networks/2.1 Google colab.html
166 Bytes
~Get Your Files Here !/8. Double Deep Q-Learning/2.1 Google colab.html
165 Bytes
~Get Your Files Here !/9. Dueling Deep Q-Networks/2. Link to the code notebook.html
159 Bytes
~Get Your Files Here !/1. Introduction/1.1 Advanced Reinforcement Learning in Python from DQN to SAC.html
147 Bytes
~Get Your Files Here !/1. Introduction/1.2 Reinforcement Learning beginner to master.html
145 Bytes
~Get Your Files Here !/10. Prioritized Experience Replay/1. Prioritized Experience Replay.html
79 Bytes
~Get Your Files Here !/10. Prioritized Experience Replay/2. Link to the code notebook.html
79 Bytes
~Get Your Files Here !/11. Noisy Deep Q-Networks/1. Noisy Deep Q-Networks.html
79 Bytes
~Get Your Files Here !/12. N-step Deep Q-Learning/1. N-step Deep Q-Learning.html
79 Bytes
~Get Your Files Here !/13. Distributional Deep Q-Networks/1. Distributional Deep Q-Networks.html
79 Bytes
~Get Your Files Here !/9. Dueling Deep Q-Networks/1. Dueling Deep Q-Networks.html
79 Bytes
==查看完整文档列表==
下一个:
大神初恋哥有钱任性爆操音乐学院声乐老师肤白气质好沙发上一路干到浴缸内各种体位变换国语对白720P高清
80.9 MB
猜你喜欢
Udemy - Python 100 Hands-On- Learn Python by Writing Python Code
709.4 MB
Python for Everyone - Learn Python from scratch - Python 3
1.0 GB
Python Programming for beginners Learn Python in a step...
92.6 MB
[ FreeCourseWeb.com ] Python Programming for beginners -...
77.6 MB
Python for Beginners- Learn Python Hands-on (Python 3)
3.5 GB
Complete Python programming - Python Basics to Advanced Python
3.6 GB
[ FreeCourseWeb.com ] Python Fundamentals For Beginners...
3.1 GB
Python for Beginners Learn Python Basics (Python 3)
218.2 MB
[ FreeCourseWeb.com ] Udemy - Complete Python...
3.5 GB
[ FreeCourseWeb.com ] Skillshare - Practical Python -...
1.5 GB