Essays about: "träningsmetoder"
Showing result 1 - 5 of 25 essays containing the word träningsmetoder.
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1. Different training methods of endurance horses in the off-season and how this affects aerobic fitness
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : Little is known about how the aerobic capacity of endurance horses responds to retraining, rest, and detraining. In this study, 22 Swedish endurance horses, mainly Arabian horses and Arabian crosses, were followed for 23 weeks during the off-season in the winter. READ MORE
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2. Träning av varmblodiga travhästar : en kartläggning hos fem svenska travtränare
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : Den varmblodiga travhästen tävlar i hastigheter upp mot 50 kilometer i timmen. Under ett lopp förväntas hästarna springa flera kilometer med en maximal hjärtfrekvens. Den moderna travhästen har ett effektivt rörelsemönster, som är framavlad så att den ska kunna springa i höga hastigheter. READ MORE
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3. Utåtagerande beteenden vid hundmöten : hundägares upplevelser, träningsmetoder och relation till hunden
University essay from SLU/Dept. of Animal Environment and HealthAbstract : Aggressive behavior at dog meetings is a common problem. Dog owners can feel stressed or fearful taking walks with their dog due to meeting other aggressive dogs and over the need to manage their own dog. READ MORE
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4. GANChat : A Generative Adversarial Network approach for chat bot learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. 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
