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#57 Semantic Segmentation | Machine Learning for Engineering & Science Applications

Автор: NPTEL-NOC IITM

Загружено: 2019-05-06

Просмотров: 31426

Описание: Welcome to 'Machine Learning for Engineering & Science Applications' course !

This lecture discusses semantic segmentation and fully convolutional networks (FCNs). FCNs take an image as input and produce an output image where each pixel is labeled with a semantic class. The U-Net architecture is a popular FCN architecture that uses a VGG-type block.
NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications.

To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198

#SemanticSegmentation #FullyConvolutionalNetworks #UNet #VGGBlock

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#57 Semantic Segmentation | Machine Learning for Engineering & Science Applications

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