Sökning: "Deep Learning"
Visar resultat 11 - 15 av 377 avhandlingar innehållade orden Deep Learning.
11. Deep Perceptual Loss and Similarity
Sammanfattning : This thesis investigates deep perceptual loss and (deep perceptual) similarity; methods for computing loss and similarity for images as the distance between the deep features extracted from neural networks. The primary contributions of the thesis consist of (i) aggregating much of the existing research on deep perceptual loss and similarity, and (ii) presenting novel research into understanding and improving the methods. LÄS MER
12. Visual Representations and Models: From Latent SVM to Deep Learning
Sammanfattning : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. LÄS MER
13. Representation learning for natural language
Sammanfattning : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. LÄS MER
14. On Deep Machine Learning Based Techniques for Electric Power Systems
Sammanfattning : This thesis provides deep machine learning-based solutions to real-time mitigation of power quality disturbances such as flicker, voltage dips, frequency deviations, harmonics, and interharmonics using active power filters (APF). In an APF the processing delays reduce the performance when the disturbance to be mitigated is tima varying. LÄS MER
15. Mathematical modelling and Problem Solving in Engineering Education
Sammanfattning : Background Innovation and technology have made the 21st century engineering workplace problems more diverse and challenging. Mathematical modelling is being increasingly used as the primary form of engineering design and is fundamental in everyday engineering problem solving. LÄS MER