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Abstract: There is large consent that successful training of deep networks requires many thousand annotated training samples. In this paper, we present a network and training strategy that relies on the strong use of data augmentation to use the available annotated samples more efficiently.
The UNet module in the above code represents the whole architecture of UNet. contraction_block and expansive_block are used to create the contraction section and the expansion section respectively. The function crop_and_concat appends the output of contraction layer with the new expansion layer input. The training part can be written as
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U-Net is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of Freiburg, Germany. The network is based on the fully convolutional network and its architecture was modified and extended to work with fewer training images and to yield more precise segmentations.
Internetipank on lihtne. Selle kasutamine ei nõua erilisi arvutialaseid teadmisi. Funktsioonid on arusaadavad ja loogilised, mida täiendavad peaaegu igal leheküljel kasulikud nõuanded.
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Company Description; SPC Power Corporation (SPC), formerly Salcon Power Corporation, was incorporated on March 11, 1994 as a venture company organized by members of the Salcon Consortium which entered into a rehabilitation, operation, maintenance and management (ROMM) agreement with the National Power Corporation (NPC) on March 25, 1994 for the purpose of undertaking the ROMM of the 203.8 MW ...
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