Search for dissertations about: "Neural Networks Computer"
Showing result 1 - 5 of 204 swedish dissertations containing the words Neural Networks Computer.
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1. Characterizing Piecewise Linear Neural Networks
Abstract : Neural networks utilizing piecewise linear transformations between layers have in many regards become the default network type to use across a wide range of applications. Their superior training dynamics and generalization performance irrespective of the nature of the problem has resulted in these networks achieving state of the art results on a diverse set of tasks. READ MORE
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2. Realistic Real-Time Rendering of Global Illumination and Hair through Machine Learning Precomputations
Abstract : Over the last decade, machine learning has gained a lot of traction in many areas, and with the advent of new GPU models that include acceleration hardware for neural network inference, real-time applications have also started to take advantage of these algorithms. In general, machine learning and neural network methods are not designed to run at the speeds that are required for rendering in high-performance real-time environments, except for very specific and typically limited uses. READ MORE
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3. Computer Simulation of the Neural Control of Locomotion in the Cat and the Salamander
Abstract : Locomotion is an integral part of a whole range of animal behaviours. The basic rhythm for locomotion in vertebrates has been shown to arise from local networks residing in the spinal cord and these networks are known as central pattern generators (CPG). READ MORE
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4. Neural networks in context: challenges and opportunities : a critical inquiry into prerequisites for user trust in decisions promoted by neural networks
Abstract : Artificial intelligence and machine learning (ML) in particular increasingly impact human life by creating value from collected data. This assetisation affects all aspectsof human life, from choosing a significant other to recommending a product for us to consume. READ MORE
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5. Efficient Document Image Binarization using Heterogeneous Computing and Interactive Machine Learning
Abstract : Large collections of historical document images have been collected by companies and government institutions for decades. More recently, these collections have been made available to a larger public via the Internet. However, to make accessing them truly useful, the contained images need to be made readable and searchable. READ MORE