Essays about: "cgan evaluation"

Found 3 essays containing the words cgan evaluation.

  1. 1. Limitations of cGAN in functional area division for interior design

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Julia Sommarlund; [2022]
    Keywords : Neural network; Conditional generative adversarial network; Interior design; Automated design; Neurala nätverk; Villkorligt generativt motståndsnätverk; Interiördesign; Automatiserad design;

    Abstract : A process that historically has been hard to automate is interior design, mainly due to its subjective nature and lack of obvious guidelines. Scientifically, there is interest to examine if subjective processes can be automated using black box algorithms such as neural networks, as well as corporate interest in this subject to increase efficiency and create systems for automated floor plan design. READ MORE

  3. 2. Synthetic Image Generation Using GANs : Generating Class Specific Images of Bacterial Growth

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Marianne Mattila; [2021]
    Keywords : Synthetic image generation; synthetic data; generative model; GAN; GAN evaluation;

    Abstract : Mastitis is the most common disease affecting Swedish milk cows. Automatic image classification can be useful for quickly classifying the bacteria causing this inflammation, in turn making it possible to start treatment more quickly. However, training an automatic classifier relies on the availability of data. READ MORE

  4. 3. Probabilistic Regression using Conditional Generative Adversarial Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Joel Oskarsson; [2020]
    Keywords : machine learning; ml; regression; probabilistic; distribution; cgan; gan; conditional gan; adversarial networks; neural network; deep learning; f-gan; f-cgan; f-divergence; adversarial training; bimodal; heteroskedastic; mmd; maximum mean discrepancy; gmmn; generative moment matching network; conditional gmmn; ipm; kde; cgan evaluation; cgan regression; gan regression; cgan-regression; regression using gan; deep; nn; implicit; generative; conditional; model; complex noise; aleatoric; uncertainty; dctd; mdn; heteroskedastic regression; gp;

    Abstract : Regression is a central problem in statistics and machine learning with applications everywhere in science and technology. In probabilistic regression the relationship between a set of features and a real-valued target variable is modelled as a conditional probability distribution. READ MORE