Essays about: "retraining"
Showing result 21 - 25 of 40 essays containing the word retraining.
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21. Knowledge Transfer Applied on an Anomaly Detection Problem Using Financial Data
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Anomaly detection in high-dimensional financial transaction data is challenging and resource-intensive, particularly when the dataset is unlabeled. Sometimes, one can alleviate the computational cost and improve the results by utilizing a pre-trained model, provided that the features learned from the pre-training are useful for learning the second task. READ MORE
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22. Inspecting product quality with computer vision techniques : Comparing traditional image processingmethodswith deep learning methodson small datasets in finding surface defects
University essay fromAbstract : Quality control is an important part of any production line. It can be done manually but is most efficient if automated. Inspecting qualitycan include many different processes but this thesisisfocusedon the visual inspection for cracks and scratches. READ MORE
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23. Machine Unlearning and hyperparameters optimization in Gaussian Process regression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The establishment of the General Data Protection Regulation (GDPR) in Europe in 2018, including the "Right to be Forgotten" poses important questions about the necessity of efficient data deletion techniques for trained Machine Learning models to completely enforce this right, since retraining from scratch such models whenever a data point must be deleted seems impractical. We tackle such a problem for Gaussian Process Regression and define in this paper an efficient exact unlearning technique for Gaussian Process Regression which completely include the optimization of the hyperparameters of the kernel function. READ MORE
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24. FPGA Implementation of an Anonymization Algorithm
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : With the large amount of surveillance cameras in our public spaces there has been much discussion about their effects on privacy. Axis communications has an algorithm that tries to remedy this by making it hard to see who is in an image but still have it possible for a neural network to detect that there is a person present. READ MORE
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25. DevOps for Data Science System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Commercialization potential is important to data science. Whether the problems encountered by data science in production can be solved determines the success or failure of the commercialization of data science. Recent research shows that DevOps theory is a great approach to solve the problems that software engineering encounters in production. READ MORE
