AI/DL/ML #1: GANs for generating clothes and models to replace glamour of models
#lifestyle #future #technology #clothing #artificialintelligence
What are GANs:-
Generative adversarial networks (GANs) are a class of artificial intelligence algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other in a zero-sum game framework. They were introduced by Ian Goodfellow in 2014.
Generative Adversarial Networks — GANs for short — will be the next big thing in deep learning, and GANs will change the way we look at the world.
Specifically, adversarial training will change how we think about teaching AIs complex tasks. In a sense, they are learning how to imitate an expert. You know you’ve reached sufficient mastery of a task once an expert discriminator can not tell the difference between your outputs, and those that you were learning to imitate. This probably does not apply to large tasks like writing a paper — everyone’s final product is a little bit different, but adversarial training will be an essential tool for making progress on mid-sized outputs like writing sentences and paragraphs, and it’s already one of the keys to realistic image generation.
1.) In a GANs solve a problem by training two separate networks with competitive goals.
one network produces answers (generative).
2.) another network distinguishes between the real and the generated answers (adversarial).
The concept is to train these networks competitively, so that after some time, neither network can make further progress against the other. Or the generator becomes so effective that the adversarial network can not distinguish between real and synthetic solutions, even with unlimited time and substantial resources.
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Online fashion tech startup Vue.ai is selling technology that analyzes pieces of clothing and automatically generates an image of the garment on a person of any size, shape, or wearing any kind of shoes. The company is currently talking to retailers to replace the continuous stream of photo shoots fashion retailers arrange for each new run of clothing.
The technology, developed by Vue.ai’s Anand Chandrasekaran and Costa Colbert, uses a machine learning approach called generative adversarial networks, or GANs. The system has two AIs: an generator and a critic. The generator tries to make an image that looks good, and the critic decides if it looks good enough. GANs are a relatively new concept, credited to Google’s Ian Goodfellow in 2014, and work especially well generating images.
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Wow, that sounds very interesting. I have recently begun to notice that people have begun to pay a lot of attention to neural networks. I am sometimes very shocked by what a neural network can do. It's so amazing that without human intervention, a computer can create real art. I remember once I decided to order a custom T-shirt from https://matohash.com/pages/same-day-t-shirt-printing-detroit and I thought for a long time about what to place on a custom T-shirt and I decided to give this choice to the neural network and I got a generated seascape drawing, I was delighted and proudly wore this T-shirt. Therefore, I believe that neural networks are the future in fashion.
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