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You're reading from  Generative Adversarial Networks Projects

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789136678
Edition1st Edition
Languages
Python
Tools
TensorFlowKeras
Concepts
Deep Learning
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Author (1)
Kailash Ahirwar
Kailash Ahirwar
author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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Practical applications of Age-cGAN

Age synthesis and age progression have many industrial and consumer applications:

  • Cross-age face recognition: This can be incorporated into security applications, such as mobile device unlocking or desktop unlocking. The problem with current face recognition systems is that they need to be updated with time. With Age-cGAN networks, the lifespan of cross-age face recognition systems will be longer.
  • Finding lost children: This is an interesting application of an Age-cGAN. As the age of a child increases, their facial features change, and it becomes much harder to identify them. An Age-cGAN can simulate a person's face at a specified age.
  • Entertainment: For example, in mobile applications, to show and share a friend's pictures at a specified age.
  • Visual effects in movies: It's a tedious and lengthy process to manually simulate...
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Generative Adversarial Networks Projects
Published in: Jan 2019Publisher: PacktISBN-13: 9781789136678
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Author (1)

author image
Kailash Ahirwar

Kailash Ahirwar is a machine learning and deep learning enthusiast. He has worked in many areas of Artificial Intelligence (AI), ranging from natural language processing and computer vision to generative modeling using GANs. He is a co-founder and CTO of Mate Labs. He uses GANs to build different models, such as turning paintings into photos and controlling deep image synthesis with texture patches. He is super optimistic about AGI and believes that AI is going to be the workhorse of human evolution.
Read more about Kailash Ahirwar

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