Sigmoid
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Sigmoid

A Brief Introduction To GANs

With explanations of the math and code

GANs, or Generative Adversarial Networks, are a type of neural network architecture that allow neural networks to generate data. In the past few years, they’ve become one of the hottest subfields in deep learning, going from generating fuzzy images of digits to photorealistic images of faces.

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Making Machine Learning more accessible. One line of code at a time.

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Sarvasv Kulpati

Sarvasv Kulpati

Writing about technology, philosophy, and everything in between.

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