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Kroes, Mairin (author)
Convolutional Neural Network (CNN) inference has gained a significant amount of traction for performing tasks like speech recognition and image classification. To improve the accuracy with which these tasks can be performed, CNNs are typically designed to be deep, encompassing a large number of neural network layers. As a result, the...
master thesis 2020
Voskes, Jurriaan (author)
At the core of state of the art microelectronic industry's drive for better technology, lies the continuing advancement in the development of Integrated Circuits using highly complex lithography machines, known as lithosteppers, which embed complex mechanical sub-systems performing intricate motions. <br/>These systems are controlled by means of...
master thesis 2018