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Data Science OMSCS

Deep Learning Image Processing Tasks

Image Classification: Class distribution per image Semantic Segmentation: Class distribution per pixel Instance Segmentation: Class distribution per pixel with unique ID Object Detection: List of bounding boxes with Class distribution per box

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Data Science

Easy explanation of Convolution vs Cross-Correlation in Convolutional Neural Networ (CNN)

Convolution layer for CNN is explained in simple words

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Neural Network Differentiation

To differentiate the loss function in a Neural Network, there are four options Manual differentiation: It is labor intensive and often it is hard to calculate the closed form solution especially for complex function Symbolic differentiation: Like manual, it is also hard for complex function Numerical differentiation: Can handle complex function but may cause numerical […]