Deep Learning for Generatation Car Designs Using Generative Adversarial Networks
Published in Laikipia University, 2020
Recommended citation: Martin Oywa, Sarah Mukuti, John Ndichu, Kennedy Mutiso, Shadrack Muteti . (2020). "Deep Learning for Generatation Car Designs Using Generative Adversarial Networks" Laikipia University https://martinoywa.github.io/files/Creative_GAN_Documentation.pdf
It is with no doubt that people are highly creative and they have the ability to produce so many new designs. However, it can get to the point that the creative capacity of a group or an individual reaches its limits. Someone would then hope for a tool that gives them something somewhat unique with a little bit less effort excerted on them, and innovators are in need of a tool that will help them build desings in a more faster and iterative manner, thatis also less costly. A model that is well trained to produce almost perfect designs that are somewhat indistinguishable, in terms of quality from what already exists would therefore be a welcome relief.
Recommended citation: Martin Oywa, Sarah Mukuti, John Ndichu, Kennedy Mutiso, Shadrack Muteti . (2020). "Deep Learning for Generatation Car Designs Using Generative Adversarial Networks" Laikipia University