Generative Adversarial Network - Which is better CNN or GAN?

The pattern recognition capabilities of Convolutional Neural Networks (CNNs) make them ideal for tasks like object detection in photos and word recognition in texts. While Generative Adversarial Networks (GANs) are great at making realistic pictures or text, they really shine when it comes to creating fresh data that follows a precise pattern. Convolutional neural networks (CNNs) often consist of three layers: fully connected, pooling, and convolutional.