Artificial Intelligence Machine Learning with Unity3D

Artificial Intelligence & Machine Learning with Unity3D, available at $34.99, has an average rating of 2.35, with 18 lectures, based on 13 reviews, and has 187 subscribers.

You will learn about How a neural-network works Set-up of the ML-Agents toolkit with Unity3D & Python Different machine-learning techniques: Reinforcement Learning & Imitation Learning Several practical examples: A.I. learns to play FlappyBird, Self-driving Car & 3D-Roller Ball Agent The ML-Agents components This course is ideal for individuals who are Anyone who wants to learn artificial intelligence in practice It is particularly useful for Anyone who wants to learn artificial intelligence in practice.

Enroll now: Artificial Intelligence & Machine Learning with Unity3D

Summary

Title: Artificial Intelligence & Machine Learning with Unity3D

Price: $34.99

Average Rating: 2.35

Number of Lectures: 18

Number of Published Lectures: 18

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

How a neural-network works

Set-up of the ML-Agents toolkit with Unity3D & Python

Different machine-learning techniques: Reinforcement Learning & Imitation Learning

Several practical examples: A.I. learns to play FlappyBird, Self-driving Car & 3D-Roller Ball Agent

The ML-Agents components

Who Should Attend

Anyone who wants to learn artificial intelligence in practice

Target Audiences

Anyone who wants to learn artificial intelligence in practice

This crash-course is about machine Learning & Artificial Intelligence with Unity3D.

Why using Unity3D for Artificial Intelligence?

Unity3D is the perfect environment in order to train your own AIs. Let’s take the example of a Self-driving Car. What you need is complex environments where there are a lots of realistic physical interactions. You could provide these datas from interactions with the real world, but this is extreme inefficient and time consuming.

Since games become more and more realistic you can provide these informations from virtual environments. And for that Unity is perfectly positioned.

So, no matter if you are a game developer who wants to create AIs for games or if you are a hobby researcher who just want to play with machine Learning … The ML-Agents toolkit is the perfect start in order to create your own AIs.

What do we learn in this crash-course?

This course is structured into 4 major sections:

Introduction
This section covers everything in order to get a quick start with the ML-Agents Toolkit. You will learn:

-Set up of the ML-Agents toolkit with Tensorflow
-What is a neural-network?
-The Key Components of the Ml-Agents toolkit

3D Roller Ball AI

This lecture will give you a first impression of the Ml-Agents toolkit in practice. You will learn how to set up the environment and all the necessary components in order to train the AI.

A.I. learns to play Flappy Bird

Instead wasting your time with playing this game, we will code our own A.I. that learns to play Flappy Bird by using Reinforcement Learning.

After training the AI is able to achieve an unlimited score in this game.

Self-driving Car

The Self-driving Car is the probably the most famous example for Artificial Intelligence, so we will cover this as well. To train the Car we will use a technique called Imitation Learning.

Imitation Learning is special, because this method uses the inputs from a human Player in order to train the neural network.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Intro

Lecture 2: Set up of the ML-Agents Toolkit

Lecture 3: What is a Neural-Network?

Lecture 4: ML-Agents Key Components

Chapter 2: 3D Roller-Ball A.I – Reinforcement Learning

Lecture 1: 3D – RollerBall Project Overview

Lecture 2: RollerBall Set up

Lecture 3: Training the AI

Lecture 4: Project Files

Chapter 3: A.I. learns to play FlappyBird

Lecture 1: Flappy Bird Project Overview

Lecture 2: Explanation of the basic Scene

Lecture 3: Set Up of the ML Agents Components

Lecture 4: Training FlappyBird

Lecture 5: Project Files

Chapter 4: Self-driving Car – Imitation Learning

Lecture 1: Self-driving Car Overview

Lecture 2: Explanation of the basic Scene

Lecture 3: Set Up of the ML Agents Components

Lecture 4: Training the Car

Lecture 5: Project Files

Instructors

ARdeveloper TT
Hobby Entwickler

Rating Distribution

1 stars: 5 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 3 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

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!