GENERATIVE ADVERSARIAL NETWORKS
A deep learning model where a generator creates fake data and a discriminator tries to detect it, leading both to improve as they compete, resulting in highly realistic generated data.
GENERATIVE ADVERSARIAL NETWORKS
Sections:
Introduction to GANs.
Dataset description and pre-processing
steps.
Detailed explanation of
model architectures.
Explanation of loss functions
and training strategy.
Evaluation and
visualizations of results.
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