Sökning: "Josef Haddad"

Hittade 2 uppsatser innehållade orden Josef Haddad.

  1. 1. Data Synthesis in Deep Learning for Object Detection

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

    Författare :Josef Haddad; [2021]
    Nyckelord :Deep Learning; Computer vision; Object detection; Synthetic data; Domain Adaptation; Machine Learning; Djupinlärning; Datorseende; Objektdetektion; Syntetiskt data; Domänadaption; Maskininlärning;

    Sammanfattning : Deep neural networks typically require large amounts of labeled data for training, but a problem is that collecting data can be expensive. Our study aims at revealing insights into how training with synthetic data affects performance in real-world object detection tasks. LÄS MER

  3. 2. Unsupervised anomaly detection in time series with recurrent neural networks

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

    Författare :Josef Haddad; Carl Piehl; [2019]
    Nyckelord :;

    Sammanfattning : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). LÄS MER