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Przedmiot specjalistyczny 23/24

A problem related to the development of an algorithm designed to find an architecture of artificial neural network used for blackbox modelling of dynamic systems with time delays has been addressed in this paper. The proposed algorithm is based on a

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Projekt w którym zawiera się główny wykorzystywany skrypt do przeprowadzania pomiarów i testów na wybranym modelu YOLOv8 w ramach pracy inżynierskiej "Analiza metod akceleracji wnioskowania modeli głębokich sieci neuronowych" - Paweł Iskrzycki

Source code used for experiments (main project)

Modified SpikeProp algorithm for recurrent spiking neural networks with LIF neurons

Results analysis in jupyter notebooks, exported data for plots and figures in pdf

This project contains raw results of experiments for parametric Bell operator defined in Proposition 1. in https://arxiv.org/abs/2205.00124 (https://doi.org/10.1103/PhysRevLett.129.150403) for 2-qubit states jsonl format

This project was created as part of the subject Team Research Projects, hosted within the scope of second-level studies at the Gdansk University of Technology. Edition of the research project: Research project 2024 Type of research project: applied Supervisor of the project: Bartłomiej Mróz, PhD. Submitter of the project: Piotr Masiak (Katana Studio)

This work presents a solution to the problem of noise generation while maintaining its probability density distribution and probability densiti function.