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Generative adversarial networks for synthetic data generation – Complete Phd and Masters Thesis

Generative adversarial networks for synthetic data generation – Complete Phd and Masters Thesis

[ad_1] Table of Contents: Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Research Questions 1.4 Objectives of the Study 1.5 Significance of the Study 1.6 Organization of the Thesis…

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Generative Adversarial Networks for Synthetic Data Generation – Complete Phd and Masters Thesis

Generative Adversarial Networks for Synthetic Data Generation – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative Adversarial Networks (GANs) have emerged as a powerful tool for generating synthetic data that closely resembles real data. GANs consist of two neural networks – a generator and a discriminator – that…

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