Essays about: "Generative adversarial networks"
Showing result 1 - 5 of 106 essays containing the words Generative adversarial networks.
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1. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. READ MORE
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2. Virtual Staining of Blood Cells using Point Light Source Illumination and Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : Blood tests are an important part of modern medicine, and are essentially always stained using chemical colorization methods before analysis by computational or manual methods. The staining process allows different parts of blood cells to be discerned that would be unnoticeable in unstained blood. READ MORE
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3. Genre style transfer : Symbolic genre style transfer utilising GAN with additional genre-enforcing discriminators
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Style transfer using Generative adversarial networks (GANs) has been successful in recent publications. One field in style transfer is music style transfer, in which a piece of music is transformed in some way, be it through genre-, harmonic-, rhythmic transfer, etc. READ MORE
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4. Generating Geospatial Trip DataUsing Deep Neural Networks
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Synthetic data provides a good alternative to real data when the latter is not sufficientor limited by privacy requirements. In spatio-temporal applications, generating syntheticdata is generally more complex due to the existence of both spatial and temporal dependencies. READ MORE
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5. IMPROVING THE PERFORMANCE OF DCGAN ON SYNTHESIZING IMAGES WITH A DEEP NEURO-FUZZY NETWORK
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Since mid to late 2010 image synthesizing using neural networks has become a trending research topic. And the framework mostly used for solving these tasks is the Generative adversarial network (GAN). GAN works by using two networks, a generator and a discriminator that trains and competes alongside each other. READ MORE
