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Model compression methods for convolutional neural networks
(2019)
Diplomityö
Diplomityö
Deep learning has been found to be an effective solution to many problems in the
field of computer vision. Convolutional networks have been a particularly successful
model for computer vision. Convolutional neural networks ...
The effects of user-AI co-creation on UI design tasks
(2019)
Pro gradu -tutkielma
Pro gradu -tutkielma
With the boost of GPU computation power and the developments of neural networks in the recent decade, a lot of AI technique are invented and show bright potential of improving human tasks. GAN (generative adversarial ...
Speech Enhancement for Automatic Analysis of Child-Centered Audio Recordings
(2019)
Diplomityö
Diplomityö
Analysis of child-centred daylong naturalist audio recordings has become a de-facto research protocol in the scientific study of child language development. The researchers are increasingly using these recordings to ...
Anomaly Detection In Blockchain
(2019)
Pro gradu -tutkielma
Pro gradu -tutkielma
Anomaly detection has been a well-studied area for a long time. Its applications in the financial sector have aided in identifying suspicious activities of hackers. However, with the advancements in the financial domain ...