Sökning: "Third Generation Neural Networks"

Hittade 5 uppsatser innehållade orden Third Generation Neural Networks.

1. 1. Scenario Generation For Vehicles Using Deep Learning

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

   Författare :Jay Patel; [2022]
   Nyckelord :Scenario generation; Mixture Density Network; Gaussian Mixture Model; Autonomous driving; Semantic Graph Network; Scenariogenerering; Mixture Density Network; Gaussian Mixture Model; Autonom körning; Semantic Graph Network;

   Sammanfattning : In autonomous driving, scenario generation can play a critical role when it comes to the verification of the autonomous driving software. Since uncertainty is a major component in driving, there cannot be just one right answer to a prediction for the trajectory or the behaviour, and it becomes important to account for and model that uncertainty. LÄS MER

3. 2. Development and Evaluation of a Road Marking Recognition Algorithm implemented on Neuromorphic Hardware

   Kandidat-uppsats, KTH/Datavetenskap

   Författare :Santiago Bou Betran; [2022]
   Nyckelord :SpiNNaker; Neuromorphic Hardware; Spiking Neural Network; Computer vision system; Lane recognition; Autonomous driving; Line Recognition; Neuromorphic Vision Sensors; Third Generation Neural Networks; Algorithm Evaluation.; SpiNNaker; Neuromorfiska hårdvara; neuromorfiska pulserande neuronnät; Datorseende system; läser av körbanans; självkörande bilar; läser av linjer; dynamiska synsensorer; Tredje generation neuronnät; utvärdering av algoritmen.; Hardware Neuromórfico; Sistemas de visión por computador; Reconocimiento de Carril; Conducción autónoma; Sensores de visión neuromórfica; Redes neuronales de Impulsos; Redes Neuronales de Tercera Generación; Evaluación de Algoritmos.;

   Sammanfattning : Driving is one of the most common and preferred forms of transport used in our actual society. However, according to studies, it is also one of the most dangerous. One solution to increase safety on the road is applying technology to automate and prevent avoidable human errors. LÄS MER

4. 3. Estimate a neural networks training duration when it is learning to drive a car : Developing a neural network in a small racing game inUnity

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Ludwig Styrlander; [2021]
   Nyckelord :neural network; autonomous driving; training duration; machine learning;

   Sammanfattning : Background. Machine learning technology is used daily in many aspects of computers. Neural network is a machine learning technique. The importance of carsthat are self driving has increased in recent years and the research about it has alsoincreased. LÄS MER

5. 4. Detection of Archaeological Sites from Aerial Imagery using Deep Learning

   Master-uppsats, Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Författare :Jorge Lazo; [2019]
   Nyckelord :Deep Learning; Archaeology; Computer Vision; Aerial Imagery; Transfer Learning.; Physics and Astronomy;

   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

7. 5. 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