Sökning: "ACTIVATION FUNCTIONS"

Visar resultat 6 - 10 av 75 uppsatser innehållade orden ACTIVATION FUNCTIONS.

1. 6. Traumatic brain injury and its impact on working memory : A systematic review

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Li Hallgren; Naema Adani Mohammed; [2023]
   Nyckelord :Traumatic brain injury; working memory; prefrontal cortex; functional magnetic resonance imaging; transcranial direct current stimulation;

   Sammanfattning : The purpose of this systematic review is to provide insight into the impact traumatic brain injury (TBI) has on the executive function known as the working memory. TBI is a damage to the brain that occurs when the brain is critically injured to the degree that it impacts several brain regions and functions such as the hippocampus, its surrounding areas, the prefrontal cortex, and the performance of the working memory ability. LÄS MER

3. 7. Correlation between Surface and Tumour Motion in Lung Cancer - including Deep Learning Perspectives

   Master-uppsats, Lunds universitet/Sjukhusfysikerutbildningen

   Författare :Caisa Kjellström; [2023]
   Nyckelord :Medicine and Health Sciences;

   Sammanfattning : Purpose: The purpose of this master thesis was to retrospectively investigate correlation between surface and tumour motion in lung cancer patients, alongside deep learning applications of the results. Additional correlations such as age, tumour volume and anatomical placement of the tumour were also investigated. LÄS MER

4. 8. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Oskar Falkeström; [2023]
   Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

   Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

5. 9. Application of Physics-Informed Neural Networks for Galaxy Dynamics

   Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

   Författare :Lucas Barbier; [2023]
   Nyckelord :;

   Sammanfattning : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. LÄS MER

7. 10. Exploring Normalizing Flow Modifications for Improved Model Expressivity

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

   Författare :Marcel Juschak; [2023]
   Nyckelord :Normalizing Flows; Motion Synthesis; Invertible Neural Networks; Glow; MoGlow; Maximum Likelihood Estimation; Generative models; normaliserande flöden; rörelsesyntes; inverterbara neurala nätverk; Glow; MoGlow; maximum likelihood-skattning generativa modeller;

   Sammanfattning : Normalizing flows represent a class of generative models that exhibit a number of attractive properties, but do not always achieve state-of-the-art performance when it comes to perceived naturalness of generated samples. To improve the quality of generated samples, this thesis examines methods to enhance the expressivity of discrete-time normalizing flow models and thus their ability to capture different aspects of the data. LÄS MER