Build Machine Learning Datasets with Unreal Procedural Generation
Learn how to snag the most in demand role in the tech field today!
Created by John Bura
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Skill level
All levels
02
Sections
21
03
Lectures
113
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Instructor
John Bura
What's inside
This course includes.
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21
Sections
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113
Lectures
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198
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00 Course Overview 5 lectures
01 Project Preview
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01B What You'll Need - Unreal Machine Learning
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02 What Is Machine Learning
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03 Types Of Machine Learning Models
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04 What Are Computer Vision And Image Segmentation
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+ 01 Unreal Introduction 3 lectures
00 What Is Unreal Engine 5
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01 How To Install UE5
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02 How To Debug Unreal
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+ 02 Build Random Levels Automatically with Procedural Generation 7 lectures
01 Build A New Unreal Project
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02 Build More Tiles
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03 Build A Blueprint To Randomly Place Tiles
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04 Build A Grid With The Blueprint
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05 Get A Random Tile
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06 Set Each Tile Position And Rotation
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07 Set Each Instance Name
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+ 03 Add Realism to the Procedural Level 4 lectures
01 Add Ground Material To Each Tile
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02 Add Environment Models
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03 Build Flat Materials For Image Segmentation
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Source Files
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+ 04 Build a Blueprint to Enter Segmented View 5 lectures
01 Build Input Action
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02 Build Press And Release Conditions
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03 Build A Materials Data Table
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04 Build A Blueprint To Switch Materials
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Source Files
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+ 05 Screenshot the Game via Blueprint 3 lectures
01 Screenshot The Game Via Blueprint
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02 Make Third Person Character Invisible
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Source Files
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+ 06 Neural Networks Introduction 6 lectures
01 What Is A Neural Network
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02 What Is Supervised Learning
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03 How Does A Machine Learning Agent Learn
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04 How To Prepare Data
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05 Performance Of A Machine Learning Algorithm
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03 Source Files
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+ 07 Prepare Data For Image Segmentation 7 lectures
01 Load Data For Image Segmentation
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02 Normalize Images
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03 Load Training Images
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04 Load Testing Images
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05 Prepare Data For Image Segmentation
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06 Visualize Images And Masks
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04 Source Files
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+ 08 Build A Neural Network For Image Segmentation 6 lectures
01 How Do You Build A Neural Network For Image Segmentation
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02 Set Up A Neural Network
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03 Build Neural Network Layers
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03B What Is The Adam Optimizer
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04 Compile Optimizer And Loss
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05 Source Files
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+ 09 Train And Test Image Segmentation 6 lectures
01 Build A Mask
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02 Visualize Model Progress
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03 Visualize Model Results
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04 Plot Model Accuracy
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05 Test The Neural Network
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06 Source Files
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Description
About this course.
Do you want to build machine learning datasets in Unreal? This course is for you. We’ll take you through how to autogenerate massive datasets with an Unreal project.
For artificial intelligence models to learn, they need a lot of data. With the power of a game engine like Unreal, you can build 3D models and environments and create image datasets. That’s exactly what we’ll do together in this course. Then we’ll train a machine learning model on that data.
- Code with Unreal blueprints
- Randomly generate objects with blueprints
- Build a segmented view
- Screenshot the game via Blueprints
- Code in Python
- Clean data for machine learning
- Build a neural network model
- Use Unreal images for machine learning
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Learn how to snag the most in demand role in the tech field today!