Adversarial Machine Learning
Oxide and Friends
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Exploring Generative Adversarial Networks in Machine Learning
This chapter delves into the workings of Generative Adversarial Networks in machine learning, explaining how one model creates images to deceive another model, known as the discriminator. Through adversarial training, the generator model learns to produce realistic images without direct exposure to real data.
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