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NEAT Algorithm Visually Explained

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NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm (GA) for training artificial neural networks based on concepts taken from evolutionary biology. This animation was made in python using the package 'manim'. The voiceover was created using ElevenLabs.
Music by Vincent Rubinetti.

Опубликовано:

6 фев 2024

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Комментарии : 15

@kotreq5862 21 день назад

Great explaination! Looking forward to more videos

@floppaplatinum5386 6 месяцев назад

This is really great for beginners! Keep it up. I would love to see other games and configurations for the algorithm and how they could affect the simulation e.g. faster training time etc.

@MrOnlineCoder 3 месяца назад

Really great visuals, sad it has so small amount of views

@__henrik5474 6 месяцев назад

Amazing explanations!

@revimfadli4666 9 дней назад

sounds quite unusual of NEAT to take this long for a simple problem Great video though!

@nemongames9871 3 месяца назад

It might be out of context, but you have the the voice of OmniMan

@rakinrahman890 2 месяца назад

lmao fr

@mahdirafati6014 2 месяца назад

It was Awsome! Tahnk you.

@hazardousharmonies 7 дней назад

This is a superb demo David. Are you able to share your github code? Thanks for the video!

@fareahrahman1908 Месяц назад

Please make more videos on different algorithms.

@xDLiker 3 месяца назад

Do I understand that correct, that one always needs to define a reward function (in this case score) for this type of problem?

@noahsmith673 2 месяца назад

yes

@KX36 23 дня назад

"more of a lucky coincidence than a well thought out strategy" Or as it's called when Space-X boosters use this exact strategy intentionally in real life, a "suicide burn".