Train Deep Learning Agents In Unity Engine

Build machine learning models and train them fast in a visual manner.

What you'll learn
Code in C#
Build machine learning models
Build training environments
Use TensorFlow models
Requirements
No experience necessary
Description
Your one stop shop for Unity machine learning!Learn the fundamentals of C# programmingBuild a new project in the popular Unity game engineBuild a 3D environment with an agent and targetBuild training episodes for agentsReward agent for finding targetPunish agent for making a wrong moveShow training resultsSpeed up training with duplicate scenariosAlexandra 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.Mammoth Interactive is a leading 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. Try a course today.

Overview

Section 1: 00a Course Overview

Lecture 1 01 Project Preview

Lecture 2 02 Course Overview

Lecture 3 Source Files

Section 2: 00b Mammoth Interactive Courses Introduction

Lecture 4 00 About Mammoth Interactive

Lecture 5 01 How To Learn Online Effectively

Lecture 6 Source Files

Section 3: 00c Machine Learning Overview

Lecture 7 01 What Is Machine Learning

Lecture 8 02 What Is Deep Learning

Lecture 9 03 What Is A Neural Network

Lecture 10 04 What Is ML-Agents

Lecture 11 Source Files

Section 4: 00d C# Programming Fundamentals (Prerequisite)

Lecture 12 09.01 Modifying String

Lecture 13 09.02 Procedural Programming

Lecture 14 10. Date And Time

Lecture 15 11.01 Modifying Files

Lecture 16 11.02 Directories And Path Class

Lecture 17 12 Debugging Application

Lecture 18 Source Files

Section 5: 01 Install What You Need

Lecture 19 01 Install Unity

Lecture 20 02 Install Python

Lecture 21 03 Install ML-Agents API

Lecture 22 04 Install A Code Editor

Section 6: 02 Build a New Unity Project

Lecture 23 01 Build A New Project

Lecture 24 02 Build A 3D Environment With Agent And Target

Lecture 25 03 How To Debug

Lecture 26 Source Files

Section 7: 03 Build Machine Learning Agent Behavior

Lecture 27 01 Start A New Training Episode

Lecture 28 02 Collect Observations

Lecture 29 03 Reward Agent For Finding Target

Lecture 30 04 Punish Agent's Wrong Move

Lecture 31 Source Files

Section 8: 04 Connect Agent to Scene

Lecture 32 01 Connect Agent To Environment And Target

Lecture 33 Source Files

Section 9: 05 Train the Brain

Lecture 34 01 Define Training Hyperparameters

Lecture 35 Source Files

Section 10: 06 Show Training Results

Lecture 36 01 Build A Graphical User Interface

Lecture 37 02 Speed Up Training With Duplicate Scenarios

Lecture 38 Source Files

Anyone interested in performing machine learning in Unity