Sökning: "multiclass neural networks"
Visar resultat 1 - 5 av 15 uppsatser innehållade orden multiclass neural networks.
1. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. LÄS MER
2. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. LÄS MER
3. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Sammanfattning : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. LÄS MER
4. Finding the Sweet Spot
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Complex carbohydrates, or glycans, are involved in cancer progression and could thereby serve as diagnostic markers as well as therapeutic targets. However, new research is required to determine which glycan motifs are universal signatures of tumor environments. LÄS MER
5. Explanation Methods for a Medical Image Classifier by Analysis of its Uncertainty
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last decade, neural networks have reached almost every field of science and technology. They have become a crucial part of various real-world applications, such as medical imaging. LÄS MER