Sökning: "Generativa Adversariella Nätverk"

Hittade 5 uppsatser innehållade orden Generativa Adversariella Nätverk.

1. 1. Image Colorization Based on Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Tao Deng; [2023]
   Nyckelord :Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

   Sammanfattning : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. LÄS MER

3. 2. Basil-GAN

   Master-uppsats, KTH/Matematisk statistik

   Författare :Jonatan Risberg; [2022]
   Nyckelord :GAN; mathematical statistics; deep neural networks; generative models; latent space exploration; sequential data; GAN; matematisk statistik; djupa neurala nätverk; generativa modeller; utforskning av latenta rum; sekventiell data;

   Sammanfattning : Developments in computer vision has sought to design deep neural networks which trained on a large set of images are able to generate high quality artificial images which share semantic qualities with the original image set. A pivotal shift was made with the introduction of the generative adversarial network (GAN) by Goodfellow et al.. LÄS MER

4. 3. Deep Learning for Speech Enhancement : A Study on WaveNet, GANs and General CNN-RNN Architectures

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Oscar Xing Luo; [2019]
   Nyckelord :;

   Sammanfattning : Clarity and intelligiblity are important aspects of speech, especially in a time of misinformation and mistrust. The breakthrough in generative models for audio files has brought massive improvements for speech enhancement. LÄS MER

5. 4. Generation of Synthetic Data with Generative Adversarial Networks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Douglas Garcia Torres; [2018]
   Nyckelord :Synthetic Data Generation; Generative Adversarial Networks; Machine Learning; Deep Learning; Neural Networks; Syntetisk Datagenerering; Generativa Adversariella Nätverk; Maskin-lärande; Djupt Lärande; Neurala Nätverk.;

   Sammanfattning : The aim of synthetic data generation is to provide data that is not real for cases where the use of real data is somehow limited. For example, when there is a need for larger volumes of data, when the data is sensitive to use, or simply when it is hard to get access to the real data. LÄS MER

7. 5. Generative adversarial networks for single image super resolution in microscopy images

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Saurabh Gawande; [2018]
   Nyckelord :Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy; Deep Learning; Generative adversarial networks; Super resolution; High content screening microscopy;

   Sammanfattning : Image Super resolution is a widely-studied problem in computer vision, where the objective is to convert a lowresolution image to a high resolution image. Conventional methods for achieving super-resolution such as image priors, interpolation, sparse coding require a lot of pre/post processing and optimization. LÄS MER