Generative Models and their Role in Development of Generality in AI

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Ekhlasi, Amir Hossein | 2020

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 53503 (02)
University: Sharif University of Technology
Department: Mathematical Sciences
Advisor(s): Alishahi, Kasra
Abstract:
In this thesis Generative Models in Deep Learning are discussed, especially Generative Models which are based on latent variables. Deep Generative Models have key role in developing Artificial Intelligence, particularly in developments of general cognition and perception in AI. In this thesis, this role for Generative Models and their applications in cognition development, and also the mathematical foundation of generative models are discussed
Keywords:
Generative Models ; Variational Autoencoder ; Generality Problem ; Artificial Intelligence ; Generative Adversarial Networks ; Representation Learning

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