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Browse by Supervisor "Schoenmakers, S."

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Data augmentation of a handwritten character dataset for a Convolutional Neural Network and integration into a Bayesian Linear Framework

Klep, D.M.J. (2016-06-10)

Artificial Intelligence

Convolutional neural networks are often used for image recognition. They have, for example, achieved the lowest error rate (0.23 percent) for the MNIST database up until now [6]. The use of receptive elds also makes ...
Mapping of convolutional neural network activation maps on the visual cortex using a Bayesian linear framework

Bulk, L.M. van den (2016-03-29)

Artificial Intelligence

Decoding the brain is slowly starting to become a reality. Recently, new computational models have made it possible to make reconstructions of perceived images from BOLD responses in the visual cortex. A linear Gaussian ...
Optimizing Convolutional Neural Networks for Fast Training on a Small Dataset

Manders, T.M.C. (2016-05-17)

Artificial Intelligence

Since a few years convolutional neural networks are state of the art for image recognition tasks. However training these networks is time and computationally intensive and there are a lot of optimizable parameters involved. ...

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