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Meet InfoGAN, The New Powerful Variant Of Generative Adversarial Networks

Generative Adversarial Network (GAN) has taken the machine learning world by storm. It is one of the most crucial and pathbreaking inventions in the world of neural networks in the last decade. It was proposed by Ian Goodfellow working with Yoshua Bengio at the University of Montreal. Goodfellow is now a part of a research team at OpenAI. Deep learning legend and Facebook’s AI research head Yann Lecun even went as far as to call adversarial training “the most interesting idea in the last 10 years in ML.”  Now researchers at Open AI have come up with a technique using GANs to identify real handwriting from digital shapes, manipulate 3D objects and extract information from face datasets. To explain in brief, GANs are a type of deep neural network architecture made from two neural ne
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Picture of Abhijeet Katte
Abhijeet Katte
As a thorough data geek, most of Abhijeet's day is spent in building and writing about intelligent systems. He also has deep interests in philosophy, economics and literature.
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