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Generative Adversarial Network - Which is better CNN or GAN?


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