Generative Models and Creativity in AI
Generative models create new data by learning underlying patterns. It covers Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). Learners explore how latent space representations enable image, audio, and text generation. Ethical concerns such as deepfakes and content authenticity are discussed. Applications span entertainment, design, and simulation. Generative modeling continues to expand rapidly.
Generative Focus:
- GAN and VAE architectures
- Latent space manipulation
- Creative AI applications
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Generative Models and Creativity in AI Conference Speakers
Recommended Sessions
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- Clustering and Unsupervised Pattern Discovery
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