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Showing result 16 - 20 of 135 essays matching the above criteria.

  1. 16. Sport specific strength in alpine competitive skiing : What characterizes alpine elite skiers?

    University essay from Gymnastik- och idrottshögskolan, GIH/Institutionen för fysisk aktivitet och hälsa

    Author : Mathias Moberg; [2022]
    Keywords : Alpine Skiing; biomechanics; physiology; strength training; elite athletest; alpine elite skiers;

    Abstract : Introduction: Alpine skiing has changed since the 1990s and it is unclear what sport specific strength is within modern alpine elite skiing. Purpose: The aim of this study was to create a strength profile and to investigate what sport specific strength is within alpine elite skiers. READ MORE

  3. 17. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

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

    Author : Rasmus Sjöö; [2022]
    Keywords : Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

    Abstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE

  4. 18. The effects and experiences of training the rectus abdominis muscle in women with diastasis rectus abdominis postpartum.

    University essay from Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

    Author : Maja Strömberg; [2022]
    Keywords : inter-rectus distance; rectus abdominis; exercise; experiences;

    Abstract : Background: Diastasis rectus abdominis (DRA) is a separation of the rectus abdominis during and after pregnancy. Physiotherapy is the first choice of intervention but it is unclear which type of training is the most effective.  Purpose: The aim of the study was twofold. READ MORE

  5. 19. Geospatial Trip Data Generation Using Deep Neural Networks

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

    Author : Aditya Deepak Udapudi; [2022]
    Keywords : Deep Learning; Geospatial; Generative Adversarial Network GAN ; Deep Learning; Geospatial; Generativa Motståndsnätverk GAN ;

    Abstract : Development of deep learning methods is dependent majorly on availability of large amounts of high quality data. To tackle the problem of data scarcity one of the workarounds is to generate synthetic data using deep learning methods. READ MORE

  6. 20. Optimizing L2-regularization for Binary Classification Tasks

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

    Author : Oskar Bolinder; [2022]
    Keywords : Machine learning; Overtraining; L2-regularization; Model selection; Binary classification; Physics and Astronomy;

    Abstract : An Artificial Neural Network (ANN) is a type of machine learning algorithm with widespread usage. When training an ANN, there is a risk that it gets overtrained and cannot solve the task for new data. Methods to prevent this, such as L2-regularization, introduce hyperparameters that are time-consuming to optimize. READ MORE