NEAT Algorithm Visually Explained

[@floppaplatinum5386]

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.

[@optozorax]

Now try dense multilayer NN, and evolve it using CMA-ES algorithm, and you will be surprised how fast it will converge.

[@kotreq5862]

Great explaination! Looking forward to more videos

[@MrOnlineCoder]

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

[@__henrik5474]

Amazing explanations!

[@mahdirafati6014]

It was Awsome! Tahnk you.

[@nemongames9871]

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

[@rakinrahman890]

lmao fr

[@zix2421]

I love this algorithm

[@xDLiker]

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

[@noahsmith673]

yes

[@medooazmi]

(Reward function = score function = fitness function) Basicly all the same, and they are just to tell the algorithm if it was a bad neural network, or a good little neurie :)

[@fareahrahman1908]

Please make more videos on different algorithms.

[@KX36]

"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".

[@revimfadli4666]

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

[@hazardousharmonies]

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

[@medooazmi]

Thats neat

[@RonicTheEgg]

why u not become the famous how

[@ExodusVFX]

Bless you in Jesus name