Essays about: "Resnet"
Showing result 21 - 25 of 78 essays containing the word Resnet.
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21. Deep Ring Artifact Reduction in Photon-Counting CT
University essay from KTH/FysikAbstract : Ring artifacts are a common problem with the use of photon-counting detectors and commercial deployment rests on being able to compensate for them. Deep learning has been proposed as a candidate for tackling the inefficiency or high cost of traditional techniques. READ MORE
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22. Machine learning assisted decision support system for image analysis of OCT
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Optical Coherence Tomography (OCT) has been around for more than 30 years and is still being continuously improved. The department of ophthalmology is a part of Sahlgrenska Hospital that heavily uses OCT for helping people with the treatment of eye diseases. READ MORE
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23. Predicting eigenvalues and eigenmodes in non-rectangular rooms with machine learning techniques
University essay from KTH/Teknisk akustikAbstract : Knowing the eigenfrequencies and eigenmodes is of great importance to interior design and a common acoustic engineering problem. Challenges in noise control makes knowing the lower eigenfrequencies particularly important. READ MORE
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24. Mapping DNNs onto the NoC Platform
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis uses an existing NoC simulation platform to construct a Network on Chip-based many-core system. The network is an 8_8 mesh topology. This thesis chooses LeNet5, ResNet, VGGNet, and AlexNet as the computing load, and tries to obtain a deep neural network mapping algorithm based on a NoC design method that can be widely used. READ MORE
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25. 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