Essays about: "Generative Adversarial Network"

Showing result 1 - 5 of 56 essays containing the words Generative Adversarial Network.

  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. Machine Learning with Reconfigurable Privacy on Resource-Limited Edge Computing Devices

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

    Author : Zannatun Nayem Tania; [2021]
    Keywords : Data Privacy; Resource Management; Machine Learning; Fitbit; Internet of Things IoT ; Optimization; Dataintegritet; Resurshantering; Machine Learning; Fitbit; Internet of Things IoT ; Optimering;

    Abstract : Distributed computing allows effective data storage, processing and retrieval but it poses security and privacy issues. Sensors are the cornerstone of the IoT-based pipelines, since they constantly capture data until it can be analyzed at the central cloud resources. However, these sensor nodes are often constrained by limited resources. 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