Unreal Image Generation and Segmentation ML with Python

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John Bura,Mammoth Interactive

9:53:43

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1. 00a Course Overview

1. 01 Project Preview.mp4

03:05

2. 01B What Youll Need - Unreal Machine Learning.mp4

05:40

3. 02 What Is Machine Learning.mp4

05:26

4. 03 Types Of Machine Learning Models.mp4

12:17

5. 04 What Are Computer Vision And Image Segmentation.mp4

05:40

6.1 Source Files.zip

6. Source Files.html

2. 00b Unreal Introduction

1. 00 What Is Unreal Engine 5.mp4

06:12

2. 01 How To Install UE5.mp4

04:46

3. 02 How To Debug Unreal.mp4

02:26

4.1 Source Files.zip

4. Source Files.html

3. 01 Build a New Unreal Project

1. Create new Project.mp4

04:45

2.1 01 Build a New Unreal Project.zip

2. Source Files.html

4. 02 Build Random Levels Automatically with Procedural Generation

1. 01 Build A New Unreal Project.mp4

03:03

2. 02 Build More Tiles.mp4

06:11

3. 03 Build A Blueprint To Randomly Place Tiles.mp4

08:01

4. 04 Build A Grid With The Blueprint.mp4

07:59

5. 05 Get A Random Tile.mp4

07:09

6. 06 Set Each Tile Position And Rotation.mp4

10:10

7. 07 Set Each Instance Name.mp4

07:11

8.1 04 Source Files.zip

8.2 05 Source Files.zip

8.3 06 Source Files.zip

8.4 07 Source Files.zip

8. Source Files.html

5. 03 Add Realism to the Procedural Level

1. 01 Add Ground Material To Each Tile.mp4

02:58

2. 02 Add Environment Models.mp4

11:16

3. 03 Build Flat Materials For Image Segmentation.mp4

11:07

4.1 01 Add Ground Material to Each Tile.zip

4.2 02 Add Environment Models.zip

4.3 03 Build Flat Materials for Image Segmentation.zip

4. Source Files.html

6. 04 Build a Blueprint to Enter Segmented View

1. 01 Build Input Action.mp4

03:48

2. 02 Build Press And Release Conditions.mp4

08:31

3. 03 Build A Materials Data Table.mp4

11:09

4. 04 Build A Blueprint To Switch Materials.mp4

17:36

5.1 01 source files.zip

5.2 02 source files.zip

5.3 03 source files.zip

5.4 04 source files.zip

5. Source Files.html

7. 05 Screenshot the Game via Blueprint

1. 01 Screenshot The Game Via Blueprint.mp4

07:58

2. 02 Make Third Person Character Invisible.mp4

05:47

3.1 01 source files.zip

3.2 WindowsEditor.zip

3. Source Files.html

8. 06 Deep Learning Introduction

1. 01 What Is Deep Learning.mp4

07:42

2.1 Source Files.zip

2. Source Files.html

9. 07 Introduction to Python (Prerequisite)

1. 00. Intro To Course And Python.mp4

09:57

2. 01. Variables.mp4

19:19

3. 02. Type Conversion Examples.mp4

10:06

4. 03. Operators.mp4

28:54

5. 04. Collections.mp4

08:24

6. 05. List Examples.mp4

19:41

7. 06. Tuples Examples.mp4

08:36

8. 08. Ranges Examples.mp4

08:32

9. 09. Conditionals.mp4

06:43

10. 10. If Statement Examples.mp4

21:32

11. 11. Loops.mp4

29:42

12. 12. Functions.mp4

17:01

13. 13. Parameters And Return Values Examples.mp4

13:54

14. 14. Classes And Objects.mp4

34:11

15. 15. Inheritance Examples.mp4

17:29

16. 16. Static Members Examples.mp4

11:05

17. 17. Summary And Outro.mp4

04:08

18.1 Source Code.zip

18. Source Files.html

10. 07b Neural Networks Introduction

1. 01 What Is A Neural Network.mp4

08:47

2. 02 What Is Supervised Learning.mp4

11:03

3. 03 How Does A Machine Learning Agent Learn.mp4

07:38

4. 04 How To Prepare Data.mp4

08:53

5. 05 Performance Of A Machine Learning Algorithm.mp4

04:14

6.1 Source Files.zip

6. Source Files.html

11. 08 Prepare Data For Image Segmentation

1. 01 Load Data For Image Segmentation.mp4

06:03

2. 02 Normalize Images.mp4

02:39

3. 03 Load Training Images.mp4

07:12

4. 04 Load Testing Images.mp4

04:39

5. 05 Prepare Data For Image Segmentation.mp4

06:27

6. 06 Visualize Images And Masks.mp4

05:22

7.1 Source Files.zip

7. Source Files.html

12. 09 Build A Neural Network For Image Segmentation

1. 01 How Do You Build A Neural Network For Image Segmentation.mp4

10:05

2. 02 Set Up A Neural Network.mp4

06:38

3. 03 Build Neural Network Layers.mp4

06:34

4. 03B What Is The Adam Optimizer.mp4

06:15

5. 04 Compile Optimizer And Loss.mp4

02:09

6.1 Source Files.zip

6. Source Files.html

13. 10 Train And Test Image Segmentation

1. 01 Build A Mask.mp4

01:36

2. 02 Visualize Model Progress.mp4

05:15

3. 03 Visualize Model Results.mp4

13:38

4. 04 Plot Model Accuracy.mp4

07:51

5. 05 Test The Neural Network.mp4

03:38

6.1 Source Files.zip

6. Source Files.html

Description

Build machine learning models from Unreal image datasets!

What You'll Learn?

Build procedural generation in Unreal
Save images from screenshots of an Unreal game
Build an image segementation machine learning model with Python
Evaluate model results to get segmented image dataset

Who is this for?

Anyone interested in procedural generation for machine learning

What You Need to Know?

No experience necessary

More details

Description
Unreal Image Generation and Segmentation ML with Python
Alexandra Kropova is a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
Mammoth Interactive is an online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvardâ€™s edX, Business Insider and more.
Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you.
Who this course is for:
Anyone interested in procedural generation for machine learning

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John Bura is has been a successful Udemy instructor since 2011. John Bura has been programming games since 1997 and teaching since 2002. John is the owner of the game development studio Mammoth Interactive. This company produces XBOX 360, iPhone, iPad, android, HTML 5, ad-games and more. Mammoth Interactive recently sold a game to Nickelodeon! John has been contracted by many different companies to provide game design, audio, programming, level design and project management. To this day John has 40 commercial games that he has contributed to. Several of the games he has produced have risen to the top 10 in the Apple's app store. In his spare time John likes to play ultimate Frisbee, cycle and work out.

Mammoth Interactive

Instructor's Courses

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.Over 11 years, Mammoth Interactive has built a global student community with 1.1 million courses sold. Mammoth Interactive has released over 250 courses and 2,500 hours of video content.Founder and CEO John Bura has been programming since 1997 and teaching since 2002. John has created top-selling applications for iOS, Xbox and more. John also runs SaaS company Devonian Apps, building efficiency-minded software for technology workers like you."I absolutely love this course. This is such a comprehensive course that was well worth the money I spent and a lot more. Will definitely be looking at more Mammoth Interactive courses when I finish this." – Student Matt W."Very good at explaining the basics then building to more complex features." – Student Kevin L.Try a course today.

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