Essays about: "Artificial neural networks"

Showing result 21 - 25 of 579 essays containing the words Artificial neural networks.

1. 21. Evaluation of deep learning methods for industrial automation

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Ragnar Onning; [2023]
   Keywords : artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

   Abstract : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. READ MORE

3. 22. Learning features for extrinsic camera calibration of wide-angle cameras

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Albin Holmkvist; Max Björkander; [2023]
   Keywords : Computer vision; camera calibration; machine learning; artificial intelligence; wireframes;

   Abstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE

4. 23. Accuracy and Robustness of State of the Art Deepfake Detection Models

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

   Author : Tobias Carlsson; Oskar Strömberg; [2023]
   Keywords : ;

   Abstract : With the evolution of artificial intelligence a lot of people have started getting worried about the potential dangers of deepfake images and videos, such as spreading fake videos of influential people. Several solutions to this problem have been proposed with some of the most efficient being convolutional neural networks for face detection in order to differentiate real images from deepfake images generated with a generative adversarial network. READ MORE

5. 24. 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. 25. 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