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19 relations: Artificial intelligence, Backpropagation, Clothing, Convolutional neural network, Discriminative model, Facebook, Generative model, Ian Goodfellow, Industrial design, Interior design, Latent variable, Multivariate normal distribution, Neural network, OpenAI, PC game, Photorealism, Turing test, Unsupervised learning, Zero-sum game.
Artificial intelligence
Artificial intelligence (AI, also machine intelligence, MI) is intelligence demonstrated by machines, in contrast to the natural intelligence (NI) displayed by humans and other animals.
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Backpropagation
Backpropagation is a method used in artificial neural networks to calculate a gradient that is needed in the calculation of the weights to be used in the network.
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Clothing
Clothing (also known as clothes and attire) is a collective term for garments, items worn on the body.
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Convolutional neural network
In machine learning, a convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery.
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Discriminative model
Discriminative models, also called conditional models, are a class of models used in machine learning for modeling the dependence of unobserved (target) variables y on observed variables x. Within a probabilistic framework, this is done by modeling the conditional probability distribution P(y|x), which can be used for predicting y from x. Discriminative models, as opposed to generative models, do not allow one to generate samples from the joint distribution of observed and target variables.
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Facebook is an American online social media and social networking service company based in Menlo Park, California.
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Generative model
In statistical classification, including machine learning, two main approaches are called the generative approach and the discriminative approach.
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Ian Goodfellow
Ian J. Goodfellow is a researcher working in machine learning, currently employed as a research scientist at Google Brain.
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Industrial design
Industrial design is a process of design applied to products that are to be manufactured through techniques of mass production.
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Interior design
Interior design is the art and science of enhancing the interior of a building to achieve a healthier and more aesthetically pleasing environment for the people using the space.
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Latent variable
In statistics, latent variables (from Latin: present participle of lateo (“lie hidden”), as opposed to observable variables), are variables that are not directly observed but are rather inferred (through a mathematical model) from other variables that are observed (directly measured).
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Multivariate normal distribution
In probability theory and statistics, the multivariate normal distribution or multivariate Gaussian distribution is a generalization of the one-dimensional (univariate) normal distribution to higher dimensions.
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Neural network
The term neural network was traditionally used to refer to a network or circuit of neurons.
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OpenAI
OpenAI is a non-profit artificial intelligence (AI) research company that aims to promote and develop friendly AI in such a way as to benefit humanity as a whole.
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PC game
PC games, also known as computer games or personal computer games, are video games played on a personal computer rather than a dedicated video game console or arcade machine.
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Photorealism
Photorealism is a genre of art that encompasses painting, drawing and other graphic media, in which an artist studies a photograph and then attempts to reproduce the image as realistically as possible in another medium.
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Turing test
The Turing test, developed by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
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Unsupervised learning
Unsupervised machine learning is the machine learning task of inferring a function that describes the structure of "unlabeled" data (i.e. data that has not been classified or categorized).
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Zero-sum game
In game theory and economic theory, a zero-sum game is a mathematical representation of a situation in which each participant's gain or loss of utility is exactly balanced by the losses or gains of the utility of the other participants.
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References
[1] https://en.wikipedia.org/wiki/Generative_adversarial_network
