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Generative adversarial network

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Machine learning frameworkAn illustration of how a GAN worksA generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. The concept was initially developed by Ian Goodfellow and his colleagues at Université de Montréal in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.

Unsupervised learningUnsupervised learningUnsupervised learning is a framework in machine learning where, in contrast to supervised learning, algorithms learn patterns exclusively from unlabeled data. Other frameworks in the spectrum of supervisions include weak- or semi-supervision, where a small portion of the data is tagged, and self-supervision. Some researchers consider self-supervised learning a form of unsupervised learning.Reinforcement learningReinforcement learningIn machine learning and optimal control, reinforcement learning (RL) (also known as approximate dynamic programming) is concerned with how an intelligent agent should take actions in a dynamic environment in order to maximize a reward signal. Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning.Supervised learningSupervised learningIn machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based on example input-output pairs. This process involves training a statistical model using labeled data, meaning each piece of input data is provided with the correct output. The term "supervised" refers to the role of a teacher or supervisor who provides this training data, guiding the algorithm towards correct predictions.Machine learningMachine learningSubset of artificial intelligenceMachine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without being explicitly programmed. Statistics and mathematical optimisation methods compose the foundations of machine learning.Neural networkA neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical models. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural networks. In neuroscience, a biological neural network is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses.Generative modelGenerative models are a class of computational models frequently used for classification. In machine learning, it typically models the joint distribution of inputs and outputs, such as P(X,Y), or it models how inputs are distributed within each class, such as P(X∣Y) together with a class prior P(Y).Weak supervisionWeak supervision (also known as semi-supervised learning) is a paradigm in machine learning, the relevance and notability of which increased with the advent of large language models due to the large amount of data required to train them.Generative AIGenerative AIAI that generates contentThéâtre D'opéra Spatial (Space Opera Theater, 2022), an image made with Midjourney that won its creator, Jason M. Allen, an award at the Colorado State Fair's fine art competition Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, computer code or other forms of digital data.Ian GoodfellowIan GoodfellowIan J. Goodfellow (born 1987) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning. He was a research scientist at Google DeepMind, was previously employed as a research scientist at Google Brain, and director of machine learning at Apple, as well as one of the first employees at OpenAI.Zero-sum gameZero-sum gameZero-sum game is a mathematical representation in game theory and economic theory of a situation that involves two competing entities, where the result is an advantage for one side and an equivalent loss for the other. In other words, player one's gain is equivalent to player two's loss, with the result that the net improvement in benefit of the game is zero. If the total gains of the participants are added up, and the total losses are subtracted, they will sum to zero.MimicryMimicryEvolutionary strategyMany insects including hoverflies (C, D, E) and the wasp beetle (F) are Batesian mimics of stinging wasps (A, B), which are Müllerian mimics of each other.In evolutionary biology, mimicry is the evolved resemblance of an organism to something else, often another organism of a different species. Mimicry may evolve between different species, or between individuals of the same species.Université de MontréalUniversité de MontréalThe Université de Montréal (English: University of Montreal; UdeM; French pronunciation: [ynivɛʁsite də mɔ̃ʁeal]) is a French-language public research university in Montreal, Quebec, Canada. The university's main campus is located in the Côte-des-Neiges neighborhood of Côte-des-Neiges–Notre-Dame-de-Grâce on Mount Royal near the Outremont Summit (also called Mount Murray), in the borough of Outremont.

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