Yes, class conditional generation in a Conditional GAN (CGAN) can be handled by incorporating class labels into both the generator and discriminator to create targeted marketing materials. Here is the code snippet you can refer to:

In the above code, we are using the following key points:
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Uses an embedding layer to condition both the generator and discriminator on class labels.
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Concatenates label embeddings with latent noise for targeted image generation.
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Enables the generation of marketing materials tailored to specific audience segments.
Hence, CGAN effectively generates class-specific content for targeted marketing campaigns.