Tutorials :

Train Deep Learning Agents In Unity Engine

      Author: Baturi   |   31 August 2022   |   comments: 0

Train Deep Learning Agents In Unity Engine
Published 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.18 GB | Duration: 4h 21m


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, jаvascript, 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


Homepage
https://www.udemy.com/course/train-deep-learning-agents-in-unity-engine/




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