2.93 GB | 00:14:31 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
1  Section Introduction  (25 MB)
2  What is AWS DeepRacer  (27.03 MB)
3  What you can learn from AWS DeepRacer  (35.82 MB)
4  Cloud Computing and AWS  (40.41 MB)
5  DeepRacer Workflow  (19.73 MB)
6  How DeepRacer Works (1)  (38.59 MB)
7  How DeepRacer Works (2)  (23.78 MB)
8  DeepRacer Pricing  (15.05 MB)
1  Section Introduction  (4.55 MB)
2  Get to know your vehicle  (63.85 MB)
3  Launch device console  (60.7 MB)
4  Upload model and Drive vehicle  (22.55 MB)
5  Calibrate vehicle  (39.7 MB)
6  Build your physical track  (5.87 MB)
1  Section Introduction  (6.97 MB)
2  DeepRacer Student  (36.24 MB)
3  multi user mode  (4.41 KB)
4  Create a Community Race  (13.09 MB)
5  Exporting and Importing Models to S3  (86.18 MB)
6  Automatic Model Submission  (27.05 MB)
7  DRfC (DeepRacer for Cloud)  (11.66 MB)
1  Section Introduction  (6.33 MB)
2  AWS Account Type  (23.36 MB)
3  Signing up for ROOT Account  (24.19 MB)
4  AWS Console Sing-In  (39.1 MB)
5  AWS ROOT Account Security Settings  (34.73 MB)
6  Checking Costs and Freetier Usage  (11.67 MB)
1  Section Introduction  (8.83 MB)
2  Introducing DeepRacer Console Menu  (18.42 MB)
3  Exploring Racing League Menu  (79.99 MB)
4  Exploring Reinforcement Learning Menu  (15.7 MB)
5  Exploring Multi-user management Menu  (12.4 MB)
6  Exploring Resources Menu  (15.63 MB)
7  Exploring Next challenge Menu  (18.95 MB)
1  Section Introduction  (9.94 MB)
2  Race Type  (21.53 MB)
3  Types of Sensors and Vehicles  (46.35 MB)
4  Building a new Vehicle Practice  (14.44 MB)
5  Model Training Practice  (139.19 MB)
6  Exploring Actions Menu (Clone, Delete, Copy to S3, download скачать physical car model)  (36.27 MB)
1  Section Introduction  (5.14 MB)
2  Machine Learning Overview  (115.94 MB)
3  How Machines Learn  (83.08 MB)
4  Hyperparameters  (96.72 MB)
5  Deep Learning and DNN  (75.13 MB)
6  CNN and DeepRacer Model  (58.94 MB)
7  Deep Learning Issues  (34.75 MB)
1  Section Introduction  (5.86 MB)
2  Reinforcement Learning Overview  (60 MB)
3  Goals in Reinforcement Learning  (85.82 MB)
4  Types of Reinforcement Learning Algorithms  (67.55 MB)
5  Data Structures in Reinforcement Learning  (32.77 MB)
6  Training Models in Reinforcement Learning  (82.78 MB)
7  Challenges and Issues in Reinforcement Learning  (27.29 MB)
8  Hyperparameters and Terminology in RL  (47.97 MB)
1  Section Introduction  (5.05 MB)
10  While Loop  (22.47 MB)
11  Function  (46.56 MB)
2  Coding Practice Environmnet-Python and Colab  (51.09 MB)
3  Printing and Variables  (34.02 MB)
4  Data Types  (85.36 MB)
5  Operations  (50.52 MB)
6  Working with Lists  (25.16 MB)
7  Math Library  (42.57 MB)
8  If Statement  (23.2 MB)
9  For Loop  (24.31 MB)
1  Section Introduction  (5.2 MB)
2  Input parameters of reward function  (63.76 MB)
3  Reward function examples  (92.56 MB)
4  Reward Function Lab  (64.97 MB)
5  Track Waypoints Visualization  (12.42 MB)
6  Input params samples  (17.12 MB)
1  Section Introduction  (3.49 MB)
2  Reward graph  (45.24 MB)
3  download скачать logs  (30.45 MB)
4  Log Analysis Example  (24.28 MB)
[align=center]
Screenshot

[/align]

https://rapidgator.net/file/d91ac135b025c0a35385dd66d4657bdb/Udemy_Exciting_AI_Autonomous_Driving_and_RL_with_AWS_DeepRacer.part1.rar
https://rapidgator.net/file/299607c98226229bcf34efe4af659d03/Udemy_Exciting_AI_Autonomous_Driving_and_RL_with_AWS_DeepRacer.part2.rar

https://filestore.me/r8qaaxvcm9wn/Udemy_Exciting_AI_Autonomous_Driving_and_RL_with_AWS_DeepRacer.part1.rar
https://filestore.me/07hc5gk71b5b/Udemy_Exciting_AI_Autonomous_Driving_and_RL_with_AWS_DeepRacer.part2.rar