4.5 (698) · € 16.50 · En Stock
GAN is an architecture in which two opposite networks compete with each other to generate desired data. The output of GAN include images, animation video, text, etc. The neural or opposite networks are named generative network and discriminator network. The generative network is provided with raw data to produce fake data. The fake data is then provided to the discriminator network. Real data and fake data (output from […]
Understand the basic principles of Generation Adversarial Network
Generative adversarial networks in construction applications
Generative artificial intelligence and its applications in
Applications of generative adversarial networks in neuroimaging
A generative adversarial network for synthetization of regions of
Applied Sciences, Free Full-Text
Synthetic flow-based cryptomining attack generation through
Generative Adversarial Networks Applications and its Benefits
Information, Free Full-Text
Understand the basic principles of Generation Adversarial Network
Application of a generative adversarial network for multi-featured
Building a simple Generative Adversarial Network using TensorFlow