Essays about: "Generative model"
Showing result 1 - 5 of 135 essays containing the words Generative model.
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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. Reliable Web Applications Through Contracts and Generative Testing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Client-side web applications have recently gone from progressive enhancements to powering large scale Single-page Applications (SPAs). Testing such applications is a tedious effort, often requiring manually constructing tests and emulating the browser, which leads to high programming effort and low performance. READ MORE
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3. 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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4. 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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5. Structural Comparison of Data Representations Obtained from Deep Learning Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In representation learning we are interested in how data is represented by different models. Representations from different models are often compared by training a new model on a downstream task using the representations and testing their performance. READ MORE
