Sökning: "Learning rate"
Visar resultat 1 - 5 av 682 uppsatser innehållade orden Learning rate.
1. A Comparative Analysis of Whisper and VoxRex on Swedish Speech Data
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : With the constant development of more advanced speech recognition models, the need to determine which models are better in specific areas and for specific purposes becomes increasingly crucial. Even more so for low-resource languages such as Swedish, dependent on the progress of models for the large international languages. LÄS MER
2. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER
3. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystemSammanfattning : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. LÄS MER
4. "Musiken ligger i dvala" : En fenomenografisk studie av elevers uppfattningar av fenomenet notläsning i musikklass med körprofil i svensk grundskola
Uppsats för yrkesexamina på grundnivå, Kungl. Musikhögskolan/Institutionen för musik, pedagogik och samhälleSammanfattning : Syftet med detta självständiga arbete är att bidra med mer kunskap om hur grundskoleelever i musikklass med körprofil i Sverige uppfattar fenomenet notläsning. I bakgrundskapitlet presenteras en kort historik över notskriftens historia, en redogörelse för musikklassen som fenomen samt definitioner av termer som används i detta arbete. LÄS MER
5. Classifying femur fractures using federated learning
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER