Introduction to Building Generative Adversarial Networks (GANs)
ACCESS the FULL COURSE here: https://academy.zenva.com/product/deep-learning-mini-degree/?zva_src=youtube-deeplearning-MD
Generative Adversarial Networks (GANs) are a type of artificial intelligence algorithm, which has 2 different Neural Networks compete against each to gain knowledge.They can be can used to generate realistic photographs of objects, nature and even human faces, with real world applications including removing noise from astrophysical images, or enhancing photos. You know how in movies, the FBI always does that cool zoom on a photo of a suspect? GANs can be used to actually do that! This course shows you how to implement GANs using Python.
ACCESS the FULL COURSE here: https://academy.zenva.com/product/deep-learning-mini-degree/?zva_src=youtube-deeplearning-MD
Generative Adversarial Networks (GANs) are a type of artificial intelligence algorithm, which has 2 different Neural Networks compete against each to gain knowledge.They can be can used to generate realistic photographs of objects, nature and even human faces, with real world applications including removing noise from astrophysical images, or enhancing photos. You know how in movies, the FBI always does that cool zoom on a photo of a suspect? GANs can be used to actually do that! This course shows you how to implement GANs using Python.
