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Blob

Smart Reasoning:

C&E

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Qaagi - Book of Why

Causes

Effects

colourssetpadding and margins and page link

the factcauseinjury and the [ ... ] CNN ( Seriously

Mrs. Tumi Makgaboleaddiscussant and former CNN anchor

That perceptionledto the SuperStation and later to CNN

first(passive) is ... designedA deep convolutional neural network ( CNN

to map image data ( or 2D multi - dimensional data ) to an output variable ( 1 dimensional data(passive) are designedConvolutional Neural Networks ( CNNs

to map image data to an output variable(passive) were designedConvolutional Neural Networks , or CNNs

a large amount of training data ... you needto setthe layers and weights in the CNN

a large amount of training data ... you needto setup the layers and weights in the CNN

CNN Tonight held the # 5 position this weekleadingCNN 's shows slightly

to process images(passive) are specifically designedConvolutional Neural Networks ( CNNs

These devices often bear the weight of a person using themare ... designedwith handgrips , padding and forearm cuffs for

of multiple(passive) are composedConvolutional neural networks ( CNNs

JOIN NOW APcontributedCNN anchor

For example , in 2012 , the AlexNet paper showedto designscale and train convolutional neural networks ( CNNs

to take advantage of the two - dimensional structure of input signals , such as an input image or a speech signal(passive) are designedConvolutional neural networks ( CNNs

the investigationledCNN to retract

to process images quickly(passive) were designedCNNs

methodsdesignCNNs

a new state - of - the - art ... that seekto automatically designCNNs

to process data that come in the form of multiple arrays(passive) are designedCNNs

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in 87 % accuracy on the Princeton ModelNet10 ( CAD modelsresultingin 87 % accuracy on the Princeton ModelNet10 ( CAD models

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reportingcontributedreporting

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Blob

Smart Reasoning:

C&E

See more*