Sökning: "Residuala Nätverk"

Hittade 3 uppsatser innehållade orden Residuala Nätverk.

1. 1. Semantic segmentation of off-road scenery on embedded hardware using transfer learning

   Master-uppsats, KTH/Mekatronik

   Författare :Filip Elander; [2021]
   Nyckelord :Semantic Segmentation; forestry navigation; Deep Neural Network; autonomous navigation; residual neural network; Convolutional neural network; Semantisk Segmentering; Autonom Terrängnavigering; Residuala Nätverk; Konvolutionellt Neuralt Nätverk; Autonom navigering;

   Sammanfattning : Real-time semantic scene understanding is a challenging computer vision task for autonomous vehicles. A limited amount of research has been done regarding forestry and off-road scene understanding, as the industry focuses on urban and on-road applications. LÄS MER

3. 2. Evaluation of Temporal Convolutional Networks for Nanopore DNA Sequencing

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jakob Stymne; Oliver Welin Odeback; [2020]
   Nyckelord :Nanopore Sequencing; DNA Sequencing; DeepLearning; Temporal Convolutional Network;

   Sammanfattning : Nanopore sequencing, a recently developed methodfor DNA sequencing, involves applying a constant electricfield over a membrane and translocating single-stranded DNAmolecules through membrane pores. This results in an electricalsignal, which is dependent on the structure of the DNA. LÄS MER

4. 3. Mixing Music Using Deep Reinforcement Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Viktor Kronvall; [2019]
   Nyckelord :;

   Sammanfattning : Deep Reinforcement Learning has recently seen good results in tasks such as board games, computer games and the control of autonomous vehicles. Stateof-the-art autonomous DJ-systems generating mixed audio hard-code the mixing strategy commonly with a cross-fade transition. LÄS MER