Essays about: "Keras"
Showing result 11 - 15 of 51 essays containing the word Keras.
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11. Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
University essay from Lunds universitet/Matematik LTHAbstract : The current trends for most fair-skinned populations are that the incidence of melanoma and non-pigmented skin lesions is growing, and this growing trend will continue for the upcoming years. The emergence of deep learning networks and their promising results in solving real-world healthcare problems and improving diagnostic accuracy opens new possibilities. READ MORE
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12. Far Field EM Side-Channel Attack Based on Deep Learning with Automated Hyperparameter Tuning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Side-channel attacks have become a realistic threat to the implementations of cryptographic algorithms. By analyzing the unintentional, side-channel leakage, the attacker is able to recover the secret of the target. Recently, a new type of side-channel leakage has been discovered, called far field EM emissions. READ MORE
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13. Ghosts of Our Past: Neutrino Direction Reconstruction Using Deep Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : Neutrinos are the perfect cosmic messengers when it comes to investigating the most violent and mysterious astronomical and cosmological events in the Universe. The interaction probability of neutrinos is small, and the flux of high-energy neutrinos decreases quickly with increasing energy. READ MORE
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14. Hyperparameters relationship to the test accuracy of a convolutional neural network
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Machine learning for image classification is a hot topic and it is increasing in popularity. Therefore the aim of this study is to provide a better understanding of convolutional neural network hyperparameters by comparing the test accuracy of convolutional neural network models with different hyperparameter value configurations. READ MORE
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15. Brain disease classification using multi-channel 3D convolutional neural networks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Functional magnetic resonance imaging (fMRI) technology has been used in the investigation of human brain functionality and assist in brain disease diagnosis. While fMRI can be used to model both spatial and temporal brain functionality, the analysis of the fMRI images and the discovery of patterns for certain brain diseases is still a challenging task in medical imaging. READ MORE