NeuroEvolution of Augmenting Topologies NEAT Neural Networks

NeuroEvolution of Augmenting Topologies NEAT Neural Networks, available at $39.99, has an average rating of 3.8, with 8 lectures, based on 34 reviews, and has 588 subscribers.

You will learn about Understand the mechanisms of genetic algorithms Understand the mechanisms of the NeuroEvolution of Augmenting Topologies algorithm Evolve NEAT-based artificial neural networks using NEAT-Python Apply NEAT to various control and computer problems This course is ideal for individuals who are Beginner neural network, machine learning, or robotics researchers curious about the applicability of genetic algorithms to artificial neural networks It is particularly useful for Beginner neural network, machine learning, or robotics researchers curious about the applicability of genetic algorithms to artificial neural networks.

Enroll now: NeuroEvolution of Augmenting Topologies NEAT Neural Networks

Summary

Title: NeuroEvolution of Augmenting Topologies NEAT Neural Networks

Price: $39.99

Average Rating: 3.8

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the mechanisms of genetic algorithms
Understand the mechanisms of the NeuroEvolution of Augmenting Topologies algorithm
Evolve NEAT-based artificial neural networks using NEAT-Python
Apply NEAT to various control and computer problems

Who Should Attend

Beginner neural network, machine learning, or robotics researchers curious about the applicability of genetic algorithms to artificial neural networks

Target Audiences

Beginner neural network, machine learning, or robotics researchers curious about the applicability of genetic algorithms to artificial neural networks

This is an introductory course to the NeuroEvolution of Augmenting Topologies algorithm. The course covers the most important concepts that characterize the NEAT algorithm, where a focus on understanding the theory behind genetic-algorithm-based artificial neural networks and their application to real-world problems, particularly in the fields of roboticsand control.

This course is intended for individuals from all backgrounds and knowledge levels, as it is structured such that there are no advanced prerequisites. From the fundamental concepts of neural networks to the unique mechanisms found in the algorithm, the lectures provide a succinct and complete overview of NEAT that can be understood by any researcher, academic, or self-learner.

The list of topics covered include:

Introduction to neural networks
Introduction to genetic algorithms
Encoding
Reproduction/crossover
Mutation
Speciation
Dimensionality
Implementation
Application

This series also includes a tutorial on how to implement your own NEAT-based neural networks using a Python implementation of the algorithm. Only basic Python knowledge is required to get started on setting up the training environment and evolutionary process to procedurally generate efficient neural networks. All that is required is a simple code editor and your attention.

Taught by an academic researcher with advanced degrees, this course will familiarize you to NEAT, from how it works to how to use it to evolve your own neural networks.

Course Curriculum

Chapter 1: Background Theory

Lecture 1: Introduction to Neural Networks

Lecture 2: Introduction to Genetic Algorithms

Chapter 2: NEAT Theory

Lecture 1: Introduction to NEAT

Lecture 2: NEAT Encoding

Lecture 3: NEAT Innovation

Lecture 4: NEAT Speciation

Lecture 5: NEAT Dimensionality

Chapter 3: NEAT Application

Lecture 1: NEAT-Python

Instructors

Ethan Kane
AI Engineer

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 5 votes
4 stars: 14 votes
5 stars: 13 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!

Menu