Sökning: "artificiella neuronnätverk"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden artificiella neuronnätverk.

1. 1. Random matrix theory in machine learning

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Lina Leopold; [2023]
   Nyckelord :Mathematics; mathematical statistics; machine learning; random matrix theory; neural networks; Matematik; matematisk statistik; maskininlärning; slumpmatristeori; neuronnätverk;

   Sammanfattning : In this thesis, we review some applications of random matrix theory in machine learning and theoretical deep learning. More specifically, we review data modelling in the regime of numerous and large dimensional data, a method for estimating covariance matrix distances in the aforementioned regime, as well as an asymptotic analysis of a simple neural network model in the limit where the number of neurons is large and the data is both numerous and large dimensional. LÄS MER

3. 2. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Röhss; [2022]
   Nyckelord :;

   Sammanfattning : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. LÄS MER

4. 3. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Gustav Henning; [2022]
   Nyckelord :Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

   Sammanfattning : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. LÄS MER

5. 4. Maskininlärning för automatisk extrahering av citat från recensioner : Med användning av BERT, Inter-Sentence Transformer och artificiella neuronnätverk

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Clara Hällgren; Alexander Kristiansson; [2021]
   Nyckelord :Machine Learning; BERT; ATS; Automatic Text Summary; Extractive Summary; Inter-Sentence Transformer; Artificial Neural Network.; Maskininlärning; BERT; ATS; automatisk textsummering; extraktiv summering; Inter-Sentence Transformer; artificiella neuronnät.;

   Sammanfattning : Att manuellt välja en eller flera meningar ur en filmrecension att använda som citat kan vara en tidskrävande uppgift. Denna rapport utvärderar övervakade maskininlärningsmodeller för att skapa en prototyp som automatiskt kan välja lämpliga citat ur recensioner. LÄS MER

7. 5. Training Neural Networks with Evolutionary Algorithms for Flash Call Verification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yini Yang; [2020]
   Nyckelord :Evolutionary algorithm; Network optimization; Backpropagation; Evolutionär algoritm; Nätverksoptimering; Backpropagation;

   Sammanfattning : Evolutionary algorithms have achieved great performance among a wide range of optimization problems. In this degree project, the network optimization problem has been reformulated and solved in an evolved way. A feasible evolutionary framework has been designed and implemented to train neural networks in supervised learning scenarios. LÄS MER