Sökning: "library learning environments"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden library learning environments.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  3. 2. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Olof Enström; Christoffer Eid; [2023]
    Nyckelord :Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

    Sammanfattning : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. LÄS MER

  4. 3. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

    Master-uppsats,

    Författare :Nishant Pillai; Roberto Giaconia; [2023]
    Nyckelord :;

    Sammanfattning : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. LÄS MER

  5. 4. Improving sample-efficiency of model-free reinforcement learning algorithms on image inputs with representation learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Marko Guberina; Betelhem Dejene Desta; [2022-10-14]
    Nyckelord :sample-efficient reinforcement learning; state representation learning; unsupervised learning; autoencoder;

    Sammanfattning : Reinforcement learning struggles to solve control tasks on directly on images. Performance on identical tasks with access to the underlying states is much better. LÄS MER

  7. 5. Utomhusundervisning i NO-ämnena

    Uppsats för yrkesexamina på grundnivå, Malmö universitet/Fakulteten för lärande och samhälle (LS)

    Författare :Haneen Alsefi; Emma Hultqvist; [2022]
    Nyckelord :Anders Szczepanski; betydelse; lärande utomhus; utomhuspedagogik;   undervisning utomhus;

    Sammanfattning : Aims: The topic of the knowledge review that has been carried out is outdoor learning. The purpose of this study is to examine what possibilities are created for students' learning and well-being by conducting teaching in the natural sciences and in outdoor environments. LÄS MER