Sökning: "transfer learning"
Visar resultat 1 - 5 av 232 uppsatser innehållade orden transfer learning.
- Master-uppsats, KTH/Medicinteknik och hälsosystem
Sammanfattning : Malignant melanoma is the deadliest form of skin cancer. If correctly diagnosed in time, the expected five-year survival rate can increase up to 97 %. Therefore, exploring various methods for early detection can contribute with tools which can be used to improve detection of disease and finally to make sure that help is given in time. LÄS MER
- Kandidat-uppsats, Lunds universitet/Allmän språkvetenskap
Sammanfattning : A study on the online process of producing idioms in writing and how second language learners manage the production and comprehension of idioms may provide a useful and comprehensive investigation of the production, comprehension and acquisition of language. The study in this paper investigated how Swedish (L1) second language learners of English (L2) produce and comprehend written idioms in the L2. LÄS MER
- Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik
Sammanfattning : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. LÄS MER
4. Cross-Linguistic Influence in the Acquisition of English as a Third Language. The State of the ArtKandidat-uppsats,
Sammanfattning : This is a review of the literature from the past ten years about cross-linguistic influence (CLI), focusing on grammar, in the acquisition of English as a third language of secondary school learners. Currently, EFL classrooms around the world are experiencing increased linguistic diversity. LÄS MER
- Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system
Sammanfattning : The lack of training data is a common problem in machine learning. One solution to thisproblem is to use transfer learning to remove or reduce the requirement of training data.Selecting datasets for transfer learning can be difficult however. LÄS MER