Convolutional neural networks (CNNs) and generative adversarial networks (GANs) are examples of neural networks -- a type of deep learning algorithm modeled after how the human brain works. Understanding convolutional neural networks (CNNs) History. More about CNNs Read TechTarget's in-depth definition of CNNs to learn more about the following aspects of convolutional neural networks: CNN layers. CNNs vs. neural networks. CNN vs. GAN: Key differences and uses, explained One important distinction between CNNs and GANs, Carroll said, is that the generator in GANs reverses the convolution process.

Source: CNN April 13, 2023 10:44 UTC