Essays about: "Konvolutionella Neurala Nätverk"

Showing result 1 - 5 of 41 essays containing the words Konvolutionella Neurala Nätverk.

1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

   Author : Xinchen Wang; [2024]
   Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

3. 2. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

   Author : Marie-Ange Stefanos; [2023]
   Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

   Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

4. 3. The impact of pruning Convolutional Neural Networks when classifying skin cancer

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

   Author : Gustaf Larsson; Marcus Odin; [2023]
   Keywords : ;

   Abstract : Over the past few years, there have been multiple reports showcasing how Convolutional Neural Networks (CNNs) can be used to classify if skin lesions are cancerous or non-cancerous. However, a limitation of CNNs is the large number of parameters resulting in high computation times. READ MORE

5. 4. Low-power Implementation of Neural Network Extension for RISC-V CPU

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

   Author : Dario Lo Presti Costantino; [2023]
   Keywords : Artificial intelligence; Deep learning; Neural networks; Edge computing; Convolutional neural networks; Low-power electronics; RISC-V; AI accelerators; Parallel processing; Artificiell intelligens; Deep learning; Neurala nätverk; Edge computing; konvolutionella neurala nätverk; Lågeffektelektronik; RISC-V; AI-acceleratorer; Parallell bearbetning;

   Abstract : Deep Learning and Neural Networks have been studied and developed for many years as of today, but there is still a great need of research on this field, because the industry needs are rapidly changing. The new challenge in this field is called edge inference and it is the deployment of Deep Learning on small, simple and cheap devices, such as low-power microcontrollers. READ MORE

6. 5. Image Colorization Based on Deep Learning

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

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

   Abstract : 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. READ MORE