What are Generative Adversarial Networks (GANs)? | IBM
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What are Generative Adversarial Networks (GANs)? | IBM
A generative adversarial network (GAN) is a machine learning model designed to generate realistic data by learning patterns from existing training datasets. It operates within an unsupervised learning framework by using deep learning techniques, where two neural networks work in opposition—one generates data, while the other evaluates whether ...
8 months ago
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#Adversarial Machine Learning Attacks
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thenextweb.comOct 8, 2021
Machine learning models keep getting spoofed by adversarial attacks and it's not clear if this can ever be fixed
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