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Using Python for Unreal Image Generation and ML Segmentation

Categories: Development, Python
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About Course

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.

Course Content

These videos will be available after purchasing

  • Project Preview
    03:06
  • What You ll Need Unreal Machine Learning
    05:41
  • What Is Machine Learning
    05:27
  • Types Of Machine Learning Models
    12:18
  • What Are Computer Vision And Image Segmentation
    05:41
  • How To Install UE5
    04:47
  • How To Debug Unreal
    02:27
  • Create new Project
    04:06
  • Build A New Unreal Project
    03:04
  • Build More Tiles
    06:12
  • Build A Blueprint To Randomly Place Tiles
    08:02
  • Build A Grid With The Blueprint
    08:00
  • Get A Random Tile
    07:10
  • Set Each Tile Position And Rotation
    10:11
  • Set Each Instance Name
    07:12
  • Add Ground Material To Each Tile
    02:59
  • Add Environment Models
    11:17
  • Build Flat Materials For Image Segmentation
    11:08
  • Build Input Action
    03:49
  • Build Press And Release Conditions
    08:32
  • Build A Materials Data Table
    11:10
  • Build A Blueprint To Switch Materials
    17:37
  • Screenshot The Game Via Blueprint
    07:59
  • Make Third Person Character Invisible
    05:48
  • What Is Deep Learning
    07:43
  • Intro To Course And Python
    09:58
  • Variables
    19:20
  • Type Conversion Examples
    10:07
  • Operators
    28:55
  • Collections
    08:25
  • List Examples
    19:42
  • Tuples Examples
    08:37
  • Ranges Examples
    08:33
  • Conditionals
    06:44
  • If Statement Examples
    21:33
  • Loops
    29:43
  • Functions
    17:02
  • Parameters And Return Values Examples
    13:55
  • Classes And Objects
    34:12
  • Inheritance Examples
    17:30
  • Static Members Examples
    11:06
  • Summary And Outro
    04:09
  • What Is A Neural Network
    08:48
  • What Is Supervised Learning
    11:04
  • How Does A Machine Learning Agent Learn
    07:39
  • How To Prepare Data
    08:54
  • Performance Of A Machine Learning Algorithm
    04:15
  • Load Data For Image Segmentation
    06:04
  • Normalize Images
    02:40
  • Load Training Images
    07:13
  • Load Testing Images
    04:40
  • Prepare Data For Image Segmentation
    06:28
  • Visualize Images And Masks
    05:23
  • How Do You Build A Neural Network For Image Segmentation
    10:06
  • Set Up A Neural Network
    06:39
  • Build Neural Network Layers
    06:35
  • What Is The Adam Optimizer
    06:16
  • Compile Optimizer And Loss
    02:10
  • Build A Mask
    01:37
  • Visualize Model Progress
    05:16
  • Visualize Model Results
    13:39
  • Plot Model Accuracy
    07:52
  • Test The Neural Network
    03:39

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