Essays about: "djupa neuronnät"
Showing result 11 - 15 of 19 essays containing the words djupa neuronnät.
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11. Deep Neural Networks for Inverse De-Identification of Medical Case Narratives in Reports of Suspected Adverse Drug Reactions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Medical research requires detailed and accurate information on individual patients. This is especially so in the context of pharmacovigilance which amongst others seeks to identify previously unknown adverse drug reactions. READ MORE
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12. Denoising of Dual Energy X-ray Absorptiometry Images and Vertebra Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Dual Energy X-ray Absorptiometry (DXA) is amedical imaging modality used to quantify bone mineral density and to detect fractures. It is widely used due to its cheap cost and low radiation dose, however it produces noisy images that can be difficult to interpret for a human expert or a machine. READ MORE
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13. Prediction of training time for deep neural networks in TensorFlow
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning has gained a lot of interest over the past years and is now used extensively in various areas. Google has developed a framework called TensorFlow which simplifies the usage of machine learning without compromising the end result. However, it does not resolve the issue of neural network training being time consuming. READ MORE
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14. Predicting Short-Term ExtremeMovements in FX-markets Using Neural Networks
University essay from KTH/Matematisk statistikAbstract : This thesis applies deep neural networks with complex feature inputs in an attempt to predict extreme price movements of up to 20 seconds in the EUR/USD exchange rate. The results show that neural networks do have predictive power in this application, and could potentially be used in con-junction with other models to predict the movements of the FX-market in ahigh-frequencytrading environment. READ MORE
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15. Implementation and verification of the Information Bottleneck interpretation of deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Although deep neural networks (DNNs) have made remarkable achievementsin various elds, there is still not a matching practical theory that is able toexplain DNNs' performances. Tishby (2015) proposed a new insight to analyzeDNN via the Information bottleneck (IB) method. READ MORE