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Generative Adversarial Networks - Which is better CNN or GAN?


Convolutional Neural Networks (CNNs) excel in identifying patterns within data, such as discerning objects within images or recognizing words within a text. On the other hand, Generative Adversarial Networks (GANs) are adept at generating new data that resembles existing patterns, such as creating realistic images or text. The structure of CNNs typically includes convolutional layers, pooling layers, and fully connected layers.