The evolution of chatbots from ELIZA to Bard
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.
CNNs, one of the oldest and most popular of the deep learning models, were introduced in the 1980s and are often used in visual recognition tasks. GANs are relatively newer. Introduced in 2014, GANs were one of the first deep learning models used for generative AI. CNNs are sometimes used within GANs to generate and discern visual and audio content.
In this article, learn the ins and outs of CNNs and GANs.