Sökning: "tensorflow"
Visar resultat 21 - 25 av 138 uppsatser innehållade ordet tensorflow.
21. Determine the time of an analogue watch using Computer Vision
Kandidat-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : This paper explores various approaches to determine the time of an analogue watch by developing two systems using the design and creation method. The aim is to see to what extent a computer can determine the time, by comparing the two systems, as well as how it can deal with contextual set-up variations such as design, orientation and lighting conditions. LÄS MER
22. Evaluation of Probabilistic Programming Frameworks
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : In recent years significant progress has been made in the area of Probabilistic Programming, contributing to a considerably easier workflow for quantitative research in many fields. However, as new Probabilistic Programming Frameworks (PPFs) are continuously being created and developed, there is a need for finding ways of evaluating and benchmarking these frameworks. LÄS MER
23. Nowcasting the IRF Auroral Index with Recurrent Neural Networks
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : There is a long history in Kiruna of conducting research on the physics of the aurora borealis. There is also a long history of providing tourists with great opportunities to see the auroras. Planning such tourist activities can be challenging since the auroras are hard to predict. LÄS MER
24. Evaluating The Performance of Machine Learning on Different Devices
Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : IoT-enheter blir allt populärare i takt med att de blir kraftfullare och skalbara. Därför var det viktigt att undersöka prestandan hos IoT-enheter när det kommer till maskininlärning. LÄS MER
25. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. LÄS MER