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________________________ is the number of correct predictions that the occurrence is positive View:-5380
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________________________ is the number of correct predictions that the occurrence is positive
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Neural network consists of __________ different layers View:-4301
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Neural network consists of __________ different layers
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(....
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The process of changing the pixel intensity values to achieve consistency in dynamic range for images is ___________. View:-5113
Question Posted on 14 Dec 2021

The process of changing the pixel intensity values to achieve consistency in dynamic range for images is ____....
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The scale-invariant feature transform can be used to detect and describe local features in images. View:-4517
Question Posted on 14 Dec 2021

The scale invariant feature transform can be used to detect and describe local features in images.
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ZCA results in ___________ View:-7465
Question Posted on 13 Dec 2021

ZCA results in ___________
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(1)more correlation of featur....
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An input image can be converted into structured form through ___________ View:-6111
Question Posted on 13 Dec 2021

An input image can be converted into structured form through ___________
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CIFAR-10 image dataset consists of ____________ training data and _____________ testing data View:-4410
Question Posted on 13 Dec 2021

CIFAR 10 image dataset consists of ____________ training data and _____________ testing data
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Classes in CIFAR-10 are dependent on each other View:-6141
Question Posted on 12 Dec 2021

Classes in CIFAR 10 are dependent on each other
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(1)TRUE ....
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Neural Network do not consists of interconnected neurons where passing messages between each other is difficult View:-6015
Question Posted on 12 Dec 2021

Neural Network do not consists of interconnected neurons where passing messages between each other is difficu....
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ZCA stands for ___________ View:-4971
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ZCA stands for ___________
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(1)Zero Phase Component Analy....
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The number of incorrect predictions that the occurrence is negative is False Negative View:-5245
Question Posted on 11 Dec 2021

The number of incorrect predictions that the occurrence is negative is False Negative
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For SVM it is good to have ___________ View:-5567
Question Posted on 11 Dec 2021

For SVM it is good to have ___________
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(1)number of dime....
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SVM is efficient on ___________ View:-5042
Question Posted on 10 Dec 2021

SVM is efficient on ___________
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(1)High Dimensional Spac....
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In SVD, the matrix A of dimension m x n can be decomposed in to A=USVT, where V is a ___________. View:-6572
Question Posted on 09 Dec 2021

In SVD, the matrix A of dimension m x n can be decomposed in to A USVT, where V is a ___________.
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In cross validation, the number of samples used for training the model is _____________ View:-5186
Question Posted on 09 Dec 2021

In cross validation, the number of samples used for training the model is _____________
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The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in scale, rotation, image resolution, illum View:-5443
Question Posted on 08 Dec 2021

The main aim of using SIFT for feature extraction is to obtain features that are very sensitive to changes in....
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The main aim of using SIFT for feature extraction is to obtain features that are not sensitive to changes in scale, rotation, image resolution, illumi View:-1828
Question Posted on 08 Dec 2021

The main aim of using SIFT for feature extraction is to obtain features that are not sensitive to changes in ....
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Data Preprocessing is a step the raw data is converted into a form suitable for subsequent analysis View:-5381
Question Posted on 07 Dec 2021

Data Preprocessing is a step the raw data is converted into a form suitable for subsequent analysis
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CNN is a algorithm in which it comes under View:-5009
Question Posted on 07 Dec 2021

CNN is a algorithm in which it comes under
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(1)Deep Learn....
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___________________________ is defined as the percentage of correct predictions View:-5371
Question Posted on 06 Dec 2021

___________________________ is defined as the percentage of correct predictions
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Scikit Learn is an machine learning python package. View:-3440
Question Posted on 05 Dec 2021

Scikit Learn is an machine learning python package.
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(1)T....
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Conventional classification algorithms on image data View:-5932
Question Posted on 04 Dec 2021

Conventional classification algorithms on image data
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(1)....
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The steps involved in building a classification model are View:-5480
Question Posted on 03 Dec 2021

The steps involved in building a classification model are
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The data is split into _________ sets View:-4668
Question Posted on 02 Dec 2021

The data is split into _________ sets
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(1)1
(2)2
....
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The major steps involved in image classification are ___________ View:-5831
Question Posted on 02 Dec 2021

The major steps involved in image classification are ___________
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Allowing training data to be included in testing data will not give actual performance results View:-2107
Question Posted on 02 Dec 2021

Allowing training data to be included in testing data will not give actual performance results
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Allowing training data to be included in testing data will give actual performance results View:-5435
Question Posted on 01 Dec 2021

Allowing training data to be included in testing data will give actual performance results
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Singular values obtained from the SVD process utilizes ___________ View:-7184
Question Posted on 30 Nov 2021

Singular values obtained from the SVD process utilizes ___________
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Data Partitioning will help us to know efficiency of model View:-5785
Question Posted on 29 Nov 2021

Data Partitioning will help us to know efficiency of model
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Noise can be removed using Data Preprocessing View:-5374
Question Posted on 29 Nov 2021

Noise can be removed using Data Preprocessing
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(1)FALSE <....
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SIFT stands for ________________ View:-3874
Question Posted on 28 Nov 2021

SIFT stands for ________________
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(1)Scale Invariant Feat....
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A normalized image has ___________ View:-4997
Question Posted on 27 Nov 2021

A normalized image has ___________
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(1)Mean = 0 and varia....
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