Essays about: "överträning"
Showing result 1 - 5 of 12 essays containing the word överträning.
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1. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : 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
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2. Convolutional neural network based object detection in a fish ladder : Positional and class imbalance problems using YOLOv3
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hydropower plants create blockages in fish migration routes. Fish ladders can serve as alternative routes but are complex to install and follow up to help adapt and develop them further. In this study, computer vision tools are considered in this regard. READ MORE
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3. Methods to assess nonfunctional overreaching in wrestlers : A literature review
University essay from Umeå universitet/IdrottsmedicinAbstract : Introduction Wrestling is a competitive and intermittent combat sport characterised mainly by strength components. Few researchers have examined nonfunctional overreaching in strength-based athletes, such as wrestlers, despite being prevalent. READ MORE
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4. eValuate - A Sports Analytics mHealth App : Featuring the Perceived Load and Fitness Scale for Overtraining Prevention and Intervention
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Health and fitness apps have become ubiquitous as smart devices become a major necessity in day-to-day life. However, an obvious issue with mobile health (mHealth) apps is that a substantial portion of them lack a scientific foundation and instead utilize experiential stratagems. Hence, the acquired data becomes unreliable. READ MORE
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5. Evaluating different training techniques for a convolutional neural network that classifies Alzheimer’s disease
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Effective computer diagnosis of Alzheimer’s disease could bring large benefitsto the millions of people worldwide who does or will suffer from dementia. One popular method for trying to achieve this is the training of convolutional neural networks to classify MRI brain scans. READ MORE