Essays about: "GAN"

Showing result 1 - 5 of 102 essays containing the word GAN.

  1. 1. Option Modelling by Deep Learning

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Niclas Klausson; Victor Tisell; [2021-02-10]
    Keywords : Deep learning; deep hedging; generative adversial networks; arbitrage pricing;

    Abstract : In this thesis we aim to provide a fully data driven approach for modelling financial derivatives, exclusively using deep learning. In order for a derivatives model to be plausible, it should adhere to the principle of no-arbitrage which has profound consequences on both pricing and risk management. READ MORE

  2. 2. Generative Neural Network for Portfolio Optimization

    University essay from Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Author : Mengxin Liu; [2021]
    Keywords : GAN; Portfolio Optimization; Neural Networks;

    Abstract : This thesis aims to overcome the drawbacks of traditional portfolio optimization by employing Generative Deep Neural Networks on real stock data. The proposed framework is capable of generating return data that have similar statistical characteristics as the original stock data. READ MORE

  3. 3. Ensembles of Single Image Super-Resolution Generative Adversarial Networks

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

    Author : Victor Castillo Araújo; [2021]
    Keywords : Generative Adversarial Networks; Single Image Super-Resolution; Computer Vision; Convolutional Neural Networks; Ensemble Learning; Generative Adversarial Networks; Superupplösning; Datorseende; Bildanalys; Convolutional neural networks; Ensembler;

    Abstract : Generative Adversarial Networks have been used to obtain state-of-the-art results for low-level computer vision tasks like single image super-resolution, however, they are notoriously difficult to train due to the instability related to the competing minimax framework. Additionally, traditional ensembling mechanisms cannot be effectively applied with these types of networks due to the resources they require at inference time and the complexity of their architectures. READ MORE

  4. 4. Conditional Generative Flow for Street Scene Generation

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

    Author : Moein Sorkhei; [2020]
    Keywords : ;

    Abstract : Generative modeling is a major branch of machine learning attributed to designing models that can learn how data are generated and hence are able to synthesize novel data. With the recent advancements in deep learning, generative models have been improved significantly and successfully applied in a variety of domains, including computer vision, video generation, audio generation, and even in medical applications. READ MORE

  5. 5. GAN-Based Synthesis of Brain Tumor Segmentation Data : Augmenting a dataset by generating artificial images

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Mehdi Foroozandeh; [2020]
    Keywords : generative adversarial networks; deep learning; machine learning; image segmentation; image synthesis; image processing; computer vision; medical imaging; medical image segmentation; medical image processing;

    Abstract : Machine learning applications within medical imaging often suffer from a lack of data, as a consequence of restrictions that hinder the free distribution of patient information. In this project, GANs (generative adversarial networks) are used to generate data synthetically, in an effort to circumvent this issue. READ MORE