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Found 1 from your keywords: author="Efriliyanti, Filda"
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KOMBINASI ARSITEKTUR VGG DAN DENSE CONNECTED (DENSENET) PADA MODEL CONVOLUTIO…
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Efriliyanti, Filda

The addition of layers to the U-Net architecture will cause more parameters and increase network complexity. The Visual Geometry Group (VGG) architecture has the ability to overcome these problems by using a small convolution filter. To overcome excessive feature learning in VGG, Dense Connected (DenseNet) can be used by directly connecting each layer using input from the previous feature map. …

Edition
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ISBN/ISSN
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Collation
xii, 70 hlm,: ilus.; 29 cm
Series Title
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Call Number
T560922021