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A Beginners Guide To Machine Learning with Unity is a training course on using machine learning with the Unity game engine that teaches how to build genetic algorithms and neural networks to design an advanced artificial intelligence. Using machine learning, you can design a character that learns during the game and becomes more advanced over time. This feature allows you to design a wide variety of gameplay and create beautiful games.
During this course you will learn to start building genetic algorithms and neural networks to play using machine learning techniques and use the Tensorflow library to practice game characters. By building neural networks in C #, you can use the information gained during the game to train the character and develop his skills. The instructor will also teach you how to work with Machine Learning Agents in Unity and explain how to use reinforcement learning in the game.
Building a genetic algorithm in C #
Building neural networks in C #
Install and review the ML-Agents plugin in Unity
Install and use Tensorflow to train game characters
Use the data obtained during the game to improve the character's behavior
Understand how machine learning works
English language
Duration: 13 hours and 4 minutes
Number of lessons: 77
Level of education: Intermediate
Teacher: Penny de Byl, Penny @ Holistic3D.com
File format: mp4
77 lectures 13:04:26
Introduction 6 lectures 35:17
Genetic Algorithms 16 lectures 03:17:35
Perceptrons: The making of a Neural Network 8 lectures 01:09:44
Artificial Neural Networks 8 lectures 01:15:00
Neural Networks in Practice 10 lectures 02:11:01
Reinforcement Learning with the Q-Network 6 lectures 01:15:26
ML-Agents 1 lecture 00:37
Unity’s ML-Agents V0.3 [DEPRECATED] 15 lectures 02:42:34
Unity’s M-Agents V0.2 [DEPRECIATED] 5 lectures 25:43
A Final Word 2 lectures 12:50
You should be familiar with the Unity Game Engine.
You should have a working knowledge of C#.
You should have a healthy appreciation for mathematics and statistics.
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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