Unreal Image Generation and Segmentation ML with Python

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Unreal Image Generation and Segmentation ML with Python
Published 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 77 lectures (9h 53m) | Size: 13 GB

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
Requirements
No experience necessary
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 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

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