NeuroEvolution of Augmenting Topologies NEAT Neural Networks free ebook download.

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NeuroEvolution of Augmenting Topologies NEAT Neural Networks free ebook download

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Catalogue

Author(s):	Udemy

Date:	2022	Format:	MP4	Language:	English	ISBN/ASIN:	0000000000
Pages:		OCR:		Quality:		ISBN13:
Uploader:	oblivion	Upload Date:	3/15/2022 7:30:05 AM

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neuroevolution-of-augmenting-topologies-neatMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8 lectures (47m) | Size: 176.2 MB
Learn to use an evolutionary algorithm to train and evolve efficient artificial neural networks

What you'll learn
Understand the mechacoursenisms 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
Requirements
No programming experience needed to understand the theory.
Minimal Python knowledge to apply NEAT.
Description
This is an introductory course to the NeuroEvolution of Augmenting Topologies algorithm. The course covers the most www.udemy.comimportant 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 robotcrossover
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.
Who this course is for
Beginner neural network, machine learning, or robotics researchers curious about the applicability of genetic algorithms to artificial neural networks
Homepage
https:ics and 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

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3103839	Video	https://nitro.download/view/60F05BB3F905...		176.22	oblivion

Tags: Augmenting NEAT Networks Neural NeuroEvolution Topologies

Title	Link	Password	Size	Reason

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