4.59 out of 5
4.59
1587 reviews on Udemy

A Beginner’s Guide To Machine Learning with Unity

Advanced games AI with genetic algorithms, neural networks & Q-learning in C# and Tensorflow for Unity
Instructor:
Penny de Byl
12,048 students enrolled
English [Auto] More
Build a genetic algorithm from scratch in C#.
Build a neural network from scratch in C#.
Setup and explore the Unity ML-Agents plugin.
Setup and use Tensorflow to train game characters.
Apply newfound knowledge of machine learning to integrate contemporary research ideas in the field into their own projects.
Distill the mathematics and statistic behind machine learning to working program code.
Use a Proximal Policy Optimisation to train a neural network.

What if you could build a character that could learn while it played?  Think about the types of gameplay you could develop where the enemies started to outsmart the player. This is what machine learning in games is all about. In this course, we will discover the fascinating world of artificial intelligence beyond the simple stuff and examine the increasingly popular domain of machines that learn to think for themselves.

In this course, Penny introduces the popular machine learning techniques of genetic algorithms and neural networks using her internationally acclaimed teaching style and knowledge from a Ph.D in game character AI and over 25 years experience working with games and computer graphics.  In addition she’s written two award winning books on games AI and two others best sellers on Unity game development. Throughout the course you will follow along with hands-on workshops designed to teach you about the fundamental machine learning techniques, distilling the mathematics in a way that the topic becomes accessible to the most noob of novices.  

Learn how to program and work with:

  • genetic algorithms

  • neural networks

  • human player captured training sets

  • reinforcement learning

  • Unity’s ML-Agent plugin

  • Tensorflow

Contents and Overview

The course starts with a thorough examination of genetic algorithms that will ease you into one of the simplest machine learning techniques that is capable of extraordinary learning. You’ll develop an agent that learns to camouflage, a Flappy Bird inspired application in which the birds learn to make it through a maze and environment-sensing bots that learn to stay on a platform.

Following this, you’ll dive right into creating your very own neural network in C# from scratch.  With this basic neural network, you will find out how to train behaviour, capture and use human player data to train an agent and teach a bot to drive.  In the same section you’ll have the Q-learning algorithm explained, before integrating it into your own applications.

By this stage, you’ll feel confident with the terminology and techniques used throughout the deep learning community and be ready to tackle Unity’s experimental ML-Agents. Together with Tensorflow, you’ll be throwing agents in the deep-end and reinforcing their knowledge to stay alive in a variety of game environment scenarios.

By the end of the course, you’ll have a well-equipped toolset of basic and solid machine learning algorithms and applications, that will see you able to decipher the latest research publications and integrate the latest developments into your work, while keeping abreast of Unity’s ML-Agents as they evolve from experimental to production release.

What students are saying about this course:

  • Absolutely the best beginner to Advanced course for Neural Networks/ Machine Learning if you are a game developer that uses C# and Unity. BAR NONE x Infinity.

  • A perfect course with great math examples and demonstration of the TensorFlow power inside Unity. After this course, you will get the strong basic background in the Machine Learning.

  • The instructor is very engaging and knowledgeable. I started learning from the first lesson and it never stopped. If you are interested in Machine Learning , take this course.

You can view and review the lecture materials indefinitely, like an on-demand channel.
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
4.6
4.6 out of 5
1587 Ratings

Detailed Rating

Stars 5
948
Stars 4
471
Stars 3
125
Stars 2
31
Stars 1
12
30-Day Money-Back Guarantee

Includes

13 hours on-demand video
23 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion
A Beginner’s Guide To Machine Learning with Unity
Price:
$29.98 $24

Community

For Professionals

For Businesses

We support and nurture talent. Learn new skills. Share your expertise. Connect with experts. Get inspired.

Community

Partnership Opportunities

Layer 1
worrq.com
Logo
Compare items
  • Total (0)
Compare
0