Sökning: "Deep neural networks"
Visar resultat 1 - 5 av 134 avhandlingar innehållade orden Deep neural networks.
1. Deep Neural Networks and Image Analysis for Quantitative Microscopy
Sammanfattning : Understanding biology paves the way for discovering drugs targeting deadly diseases like cancer, and microscopy imaging is one of the most informative ways to study biology. However, analysis of large numbers of samples is often required to draw statistically verifiable conclusions. LÄS MER
2. G-equivariant convolutional neural networks
Sammanfattning : Over the past decade, deep learning has revolutionized industry and academic research. Neural networks have been used to solve a multitude of previously unsolved problems and to significantly improve the state-of-the-art on other tasks, in some cases reaching superhuman levels of performance. LÄS MER
3. Quantum state characterization with deep neural networks
Sammanfattning : In this licentiate thesis, I explain some of the interdisciplinary topics connecting machine learning to quantum physics. The thesis is based on the two appended papers, where deep neural networks were used for the characterization of quantum systems. LÄS MER
4. Deep neural networks for electromagnetics applied to optimization and inverse problems
Sammanfattning : This thesis explores the possibilities to complement full-wave electromagnetic solvers with fully-connected neural networks. We emphasize problems that must be solved a very large number of times in a limited parameter domain. We present and evaluate the normalization method ForwardNorm. LÄS MER
5. Mathematical Foundations of Equivariant Neural Networks
Sammanfattning : Deep learning has revolutionized industry and academic research. Over the past decade, neural networks have been used to solve a multitude of previously unsolved problems and to significantly improve the state of the art on other tasks. However, training a neural network typically requires large amounts of data and computational resources. LÄS MER