Channel: NiceMarkMC

Category: Gaming

Tags: minecraftnice mark minecraftminecraft skindeep convolutional generative adversarial networknicemarkmachine learningneural networktensorflowgannicemarkmcdcganfakeimage generationminecraft face

Description: I used a DCGAN implementation of neural networks to generate random fake Minecraft faces from datasets of various sizes. This is the result. I believe the technology behind this is VERY promising. Not just for Minecraft faces, but for everything in general. Machine learning really is an interesting subject, if you have the chance do check it out, I highly recommend it. It's a tough subject though, but you literally tell a computer what you want and it does it without having to hard code it. How close to AI generating textures, or even entire games, are we? DCGAN: github.com/carpedm20/DCGAN-tensorflow styleGAN: github.com/NVlabs/stylegan pokeGAN: github.com/llSourcell/Pokemon_GAN Social: Website - nicemarkmc.com Twitter - twitter.com/NiceMarkMC Google+ - google.com/+NiceMarkMC Minecraft Top Compilations Playlist: youtube.com/playlist?list=PLIRR9clro4hRjpNnI46YvEon4oeWbJRV4 PC Build + Software that I use - nicemarkmc.com/gaming-video-equipment-2016 If you like my Minecraft videos, don't forget to subscribe for more! :D - youtube.com/user/NiceMarkMC?sub_confirmation=1 #Minecraft