Making GANs practical
Practical AI
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Exploring Conditional GANs
This chapter examines Conditional Generative Adversarial Networks (GANs) and their ability to generate images with specific features based on input labels. It discusses practical applications in various fields, including animation and healthcare, while addressing the ethical implications of GAN technologies, such as deepfakes. The chapter highlights ongoing research and the versatility of GANs in enhancing data representation and synthesis.
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