Unreal Image Generation and Segmentation ML with Python

What you’ll learn

Requirements No experience necessary

Discription 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 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.

Who this course is for: Anyone interested in procedural generation for machine learning

01. 00a Course Overview

01. 01 Project Preview 02. 01B What Youll Need – Unreal Machine Learning 03. 02 What Is Machine Learning 04. 03 Types Of Machine Learning Models 05. 04 What Are Computer Vision And Image Segmentation

02. 00b Unreal Introduction

01. 00 What Is Unreal Engine 5 02. 01 How To Install UE5 03. 02 How To Debug Unreal

03. 01 Build a New Unreal Project

01. Create new Project

04. 02 Build Random Levels Automatically with Procedural Generation

01. 01 Build A New Unreal Project 02. 02 Build More Tiles 03. 03 Build A Blueprint To Randomly Place Tiles 04. 04 Build A Grid With The Blueprint 05. 05 Get A Random Tile 06. 06 Set Each Tile Position And Rotation 07. 07 Set Each Instance Name

05. 03 Add Realism to the Procedural Level

01. 01 Add Ground Material To Each Tile 02. 02 Add Environment Models 03. 03 Build Flat Materials For Image Segmentation

06. 04 Build a Blueprint to Enter Segmented View

01. 01 Build Input Action 02. 02 Build Press And Release Conditions 03. 03 Build A Materials Data Table 04. 04 Build A Blueprint To Switch Materials

07. 05 Screenshot the Game via Blueprint

01. 01 Screenshot The Game Via Blueprint 02. 02 Make Third Person Character Invisible

08. 06 Deep Learning Introduction

01. 01 What Is Deep Learning

09. 07 Introduction to Python (Prerequisite)

01. 00. Intro To Course And Python 02. 01. Variables 03. 02. Type Conversion Examples 04. 03. Operators 05. 04. Collections 06. 05. List Examples 07. 06. Tuples Examples 08. 08. Ranges Examples 09. 09. Conditionals 10. 10. If Statement Examples 11. 11. Loops 12. 12. Functions 13. 13. Parameters And Return Values Examples 14. 14. Classes And Objects 15. 15. Inheritance Examples 16. 16. Static Members Examples 17. 17. Summary And Outro

10. 07b Neural Networks Introduction

01. 01 What Is A Neural Network 02. 02 What Is Supervised Learning 03. 03 How Does A Machine Learning Agent Learn 04. 04 How To Prepare Data 05. 05 Performance Of A Machine Learning Algorithm

11. 08 Prepare Data For Image Segmentation

01. 01 Load Data For Image Segmentation 02. 02 Normalize Images 03. 03 Load Training Images 04. 04 Load Testing Images 05. 05 Prepare Data For Image Segmentation 06. 06 Visualize Images And Masks

12. 09 Build A Neural Network For Image Segmentation

01. 01 How Do You Build A Neural Network For Image Segmentation 02. 02 Set Up A Neural Network 03. 03 Build Neural Network Layers 04. 03B What Is The Adam Optimizer 05. 04 Compile Optimizer And Loss

13. 10 Train And Test Image Segmentation

01. 01 Build A Mask 02. 02 Visualize Model Progress 03. 03 Visualize Model Results 04. 04 Plot Model Accuracy 05. 05 Test The Neural Network

[Udemy] Unreal Image Generation and Segmentation ML with Python.7z.001.rar [Udemy] Unreal Image Generation and Segmentation ML with Python.7z.002.rar [Udemy] Unreal Image Generation and Segmentation ML with Python_Subtitles.7z

  Channel    and      Group