Udemy Exciting AI Autonomous Driving and RL with AWS DeepRacer

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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 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 logs (30.45 MB)
4 Log Analysis Example (24.28 MB)

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