Sökning: "ADAM optimizer"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden ADAM optimizer.

  1. 1. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Woods; [2024]
    Nyckelord :Particle swarm optimization; indoor positioning system; machine learning; Wi-Fi; RSSI; RTT; artificial neural network; ADAM optimizer; Keras; TensorFlow;

    Sammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER

  3. 2. Improved U-Net architecture for Crack Detection in Sand Moulds

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Husain Ahmed; Hozan Bajo; [2023]
    Nyckelord :U-Net Architecture; Semantic Segmentation; Convolutional Neural Networks; Crack Detection;

    Sammanfattning : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. LÄS MER

  4. 3. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  5. 4. GPS-Free UAV Geo-Localization Using a Reference 3D Database

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Justus Karlsson; [2022]
    Nyckelord :Deep Learning; Machine Learning; ML; AI; UAV; GPS-Free; CNN; 3D CNN; GCNN; 3D Database; geolocalization; geo-localization; georegistration; Hidden Markov Model; HMM; satellite; satellite database; Batch-Hard; triplet loss; PyTorch Geometric;

    Sammanfattning : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. LÄS MER

  7. 5. Data-Driven Learning for Approximating Dynamical Systems Using Deep Neural Networks

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Axel Dernsjö; Max Berg Wahlström; [2021]
    Nyckelord :;

    Sammanfattning : In this thesis, a one-step approximation method has been used to produce approximations of two dynamical systems. The two systems considered are a pendulum and a damped dual-mass-spring system. LÄS MER