Essays about: "trial and error"

Showing result 21 - 25 of 125 essays containing the words trial and error.

  1. 21. Combined Regularisation Techniques for Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Joseph Binns; [2022]
    Keywords : Artificial Neural Networks; ANNs; Overfitting; Combined Regularisation Techniques; Regularisation Techniques; Regularisation; L2; Weight Decay; Dropout; Early Stopping; Physics and Astronomy;

    Abstract : Artificial neural networks are prone to overfitting – the process of learning details specific to a particular training data set. Success in preventing overfitting through combining the L2 and dropout regularisation techniques has led to the combination’s recent popularity. READ MORE

  3. 22. A Comparative Study on the effect of different hyperparameters on the performance of VGGNet-16 for detection of Cardiomegaly in Chest X-ray Images

    University essay from KTH/Datavetenskap

    Author : Ouday Ahmed; Oliver Lindblad; [2022]
    Keywords : ;

    Abstract : Computer aided diagnostics (CAD) systems have been widely researched and used in the medical field since it was introduced in the 1960s. The system functions as a support for radiologists in medical examinations using imaging technology such as X-rays, MRI and CT scans to diagnose diseases and treat injuries. READ MORE

  4. 23. The Dynamics of Neural Networks Expressivity with Applications to Remote Sensing Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Hui Zhang; [2022]
    Keywords : Neural Networks; Linear Regions; Expressivity; Initialization; Remote Sensing; Neurala nätverk; linjära regioner; uttrycksfullhet; initialisering; fjärranalys;

    Abstract : Deep neural networks (DNN) have been widely demonstrated to be more powerful than their shallower counterparts in a variety of computer vision tasks and remote sensing applications. However, as many techniques are based on trial-and-error experiments as opposed to systematic evaluation, scientific evidence for the superiority of DNN needs more theoretical and experimental foundations. READ MORE

  5. 24. Camera traps as seen by wildlife managers : an insight into Swedish wildlife managers’ views on camera traps and other technological tools and methodologies in an adaptive wildlife management framework

    University essay from SLU/Dept. of Wildlife, Fish and Environmental Studies

    Author : William Jaktén Langert; [2022]
    Keywords : camera trap; adaptive wildlife management; governance; legislation; technology; implementation;

    Abstract : Sweden strives for adaptive wildlife management. With the introduction of new technologies and methodologies, adaptive management must be resilient and efficient in implementing and trying these, to truly stay adaptive. READ MORE

  6. 25. The Role of Data in Projected Quantum Kernels: The Higgs Boson Discrimination

    University essay from KTH/Fysik

    Author : Francesco Di Marcantonio; [2022]
    Keywords : Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method; Quantum Machine Learning; Quantum Support Vector Machine; Projected Quantum Kernel; Higgs Boson; Supervised Learning; Kernel Method;

    Abstract : The development of quantum machine learning is bridging the way to fault tolerant quantum computation by providing algorithms running on the current noisy intermediate scale quantum devices.However, it is difficult to find use-cases where quantum computers exceed their classical counterpart. READ MORE