I've been working with NeuroEvolution algorithms for a few weeks now, and your video was very informative to me, thanks a lot, you really are underrated bro.
This video ended up being a long time in the making because of school, and that I choose to experiment with a lot of different video editing / recording techniques. Not all the experimenting turned out that great, so would love to hear what you think of this style of video. :)
Very interesting project and a nice video as well: a lot of information in pretty short period of time. Of course a lot of questions appeared right away, but I guess this is sort of an overview, so details are for another video. Like, why adding info about field is so terrifying, wouldn’t it be like “only” 54 or 72 more inputs? What activation function you used? Is “danger” input binary? Is “piece can escape” really needed if we have “can be attacked”? Don’t that cover only a really specific case? Is it worth to be holding on to “under-performers” so much? Why on “figure 2” at 5:00 and later upper neurons have no inputs? And so on. So, thank you and looking forward to the next video.
Oh, yeah, and definitely the question what are the values of “piece can escape”, because there seems to be 3 states: piece under attack and can, piece under attack and can not, piece not under attack…. But I guess feature selection deserves a list of lectures on its own….
These types of comments are awesome to get, so thank you. - Very good points, yeah this video is more of an overview, but a lot of these things would have made a lot of sense to go in more depth in. The process of making this video became a bit messy, as it is actually recorded 3 months ago, and due to being busy was it very slowly edited. Did realize a lot of things were not explained in enough detail, but to avoid huge inconsistensies between recordings (and just kinda just wanting to finish it haha), did it get pushed already. - Definetely is a learning experience though, that I will take with me going farward! :)
I've been working with NeuroEvolution algorithms for a few weeks now, and your video was very informative to me, thanks a lot, you really are underrated bro.
just found your channel and i gota say keep up the great work and cant wait to see what you do next
This video ended up being a long time in the making because of school, and that I choose to experiment with a lot of different video editing / recording techniques. Not all the experimenting turned out that great, so would love to hear what you think of this style of video. :)
Start uploading more videos. Your content is very informative and good
Very interesting project and a nice video as well: a lot of information in pretty short period of time. Of course a lot of questions appeared right away, but I guess this is sort of an overview, so details are for another video. Like, why adding info about field is so terrifying, wouldn’t it be like “only” 54 or 72 more inputs? What activation function you used? Is “danger” input binary? Is “piece can escape” really needed if we have “can be attacked”? Don’t that cover only a really specific case? Is it worth to be holding on to “under-performers” so much? Why on “figure 2” at 5:00 and later upper neurons have no inputs? And so on.
So, thank you and looking forward to the next video.
Oh, yeah, and definitely the question what are the values of “piece can escape”, because there seems to be 3 states: piece under attack and can, piece under attack and can not, piece not under attack…. But I guess feature selection deserves a list of lectures on its own….
These types of comments are awesome to get, so thank you. - Very good points, yeah this video is more of an overview, but a lot of these things would have made a lot of sense to go in more depth in. The process of making this video became a bit messy, as it is actually recorded 3 months ago, and due to being busy was it very slowly edited. Did realize a lot of things were not explained in enough detail, but to avoid huge inconsistensies between recordings (and just kinda just wanting to finish it haha), did it get pushed already. - Definetely is a learning experience though, that I will take with me going farward! :)
I need Ai for ludo game
Rush Ludo Ai pless