Sökning: "transfer learning"
Visar resultat 1 - 5 av 661 uppsatser innehållade orden transfer learning.
1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"
Magister-uppsats, Göteborgs universitet/Juridiska institutionenSammanfattning : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. LÄS MER
2. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
Master-uppsats,Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER
3. A Literature Review of Trends, Attitudes and Multilingual Learning in Research on Cross-Linguistic Influence
Uppsats för yrkesexamina på grundnivå, Göteborgs universitet / LärarutbildningsnämndenSammanfattning : This literature review identifies what trends and attitudes can be found and how the multilingual learning process is depicted in research on cross-linguistic influence (CLI) between 2009 and 2023. The aim of this is partly to investigate the changes that have followed the EU’s commitment to reinforce multilingualism and to compare current research with historical findings. LÄS MER
4. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. LÄS MER
5. Evaluating and optimizing Transformer models for predicting chemical reactions
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER