Essays about: "sequence to sequence learning"

Showing result 16 - 20 of 184 essays containing the words sequence to sequence learning.

1. 16. Recognition of Handwritten Swedish Sentences With Deep Learning

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Hussain Kara Fallah; [2023]
   Keywords : ;

   Abstract : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. READ MORE

3. 17. Identifying the beginning of a kayak race using velocity signal data

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Indre Kvedaraite; [2023]
   Keywords : kayak race; velocity signal; machine learning; support vector machine; k nearest neighbours; random forest;

   Abstract : A kayak is a small watercraft that moves over the water. The kayak is propelled by a person sitting inside of the hull and paddling using a double-bladed paddle. While kayaking can be casual, it is used as a competitive sport in races and even the Olympic games. READ MORE

4. 18. A Bidirectional ApproachApplied on Deeper and WiderSiamese Network

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Tobias Arnehall Johansson; [2023]
   Keywords : ;

   Abstract : Object tracking and object detection are two components within computer vision that have been widely improved during the last decade, in terms of precision and speed. This is mainly because deep learning has been incorporatedinto the algorithms, but also because new techniques and insights within the area are frequently released. READ MORE

5. 19. Anchor-free object detection in surveillance applications

   University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Author : Peter Magnusson; [2023]
   Keywords : computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

   Abstract : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. READ MORE

6. 20. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading

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

   Author : Adriano Mundo; [2023]
   Keywords : Reinforcement Learning; Latent Representation; VAE; Non-Stationary; FQI; FX Trading; Förstärkningsinlärning; Latent representation; VAE; Icke-stationär; FQI; FX handel;

   Abstract : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. READ MORE