Essays about: "Generative Adversarial Networks"

Showing result 1 - 5 of 74 essays containing the words Generative Adversarial Networks.

  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. Image-to-Image Translation for Improvement of Synthetic Thermal Infrared Training Data Using Generative Adversarial Networks

    University essay from Linköpings universitet/Datorseende

    Author : Hanna Hamrell; [2021]
    Keywords : machine learning; deep learning; image-to-image translation; image processing; generative adversarial networks; infrared images; computer vision;

    Abstract : Training data is an essential ingredient within supervised learning, yet time con-suming, expensive and for some applications impossible to retrieve. Thus it isof interest to use synthetic training data. However, the domain shift of syntheticdata makes it challenging to obtain good results when used as training data fordeep learning models. READ MORE

  3. 3. GAN-based Automatic Segmentation of Thoracic Aorta from Non-contrast-Enhanced CT Images

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Libo Xu; [2021]
    Keywords : Non-contrast-enhanced; Medical Image Segmentation; Image-to-image Translation; U-Net; Generative Adversarial Network; End-to-end; Two-stage;

    Abstract : The deep learning-based automatic segmentation methods have developed rapidly in recent years to give a promising performance in the medical image segmentation tasks, which provide clinical medicine with an accurate and fast computer-aided diagnosis method. Generative adversarial networks and their extended frameworks have achieved encouraging results on image-to-image translation problems. READ MORE

  4. 4. Unsupervised 3D Human Pose Estimation

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

    Author : Sri Datta Budaraju; [2021]
    Keywords : Computer Vision; Projective Geometry; Deep Learning; Unsupervised Learning; 3D Human Pose Estimation; GAN; AutoEncoder; Hybrid Generative Model; Self Supervision;

    Abstract : The thesis proposes an unsupervised representation learning method to predict 3D human pose from a 2D skeleton via a VAEGAN (Variational Autoencoder Generative Adversarial Network) hybrid network. The method learns to lift poses from 2D to 3D using selfsupervision and adversarial learning techniques. READ MORE

  5. 5. Machine Learning Based Beam Tracking in mmWave Systems

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

    Author : Yizhan Yang; [2021]
    Keywords : Beam Tracking; Machine Learning; RNN; LSTM; Strålspårning; Maskininlärning; RNN; LSTM;

    Abstract : The demand for high data rates communication and scarcity of spectrum in existing microwave bands has been the key aspect in 5G. To fulfill these demands, the millimeter wave (mmWave) with large bandwidths has been proposed to enhance the efficiency and the stability of the 5G network. READ MORE