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What is the optimum number of concurrent_reads per processor core ? Choose the correct option from below list (1)8 (2)1 (3)5 (4)4
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Jan 31, 2020
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MBarbieri
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1
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What is the biggest perrformance gain in cassandra write operations?
asked
Jan 31, 2020
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by
MBarbieri
0
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1
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Version Control System helps in tracking __________ of the files.
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Jan 31, 2020
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by
MBarbieri
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1
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What does the term JSON expands on ?
asked
Jan 30, 2020
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by
rajeshsharma
#json-expands
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1
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The problem of internal covariant shift is profound when ____________.
asked
Jan 30, 2020
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by
rajeshsharma
#internal-covariant
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0
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The normalized z in batch normalization is scaled and shifted before feeding to activation.
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Jan 30, 2020
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by
rajeshsharma
#normalization-batch
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0
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Linear scale search performs a uniform search when choosing a learning rate.
asked
Jan 29, 2020
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by
rahuljain1
#linear-scale-search
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0
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The problem of having a constant learning rate is ____________.
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Jan 29, 2020
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by
rahuljain1
#constant-learning-rate
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0
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The drawback of grid search is _______________.
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Jan 29, 2020
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by
rahuljain1
#grid-search-drawbacks
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0
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Benefit/Benefits of batch normalization is/are _________.
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Jan 29, 2020
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rahuljain1
#normalization-benefit
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The chances of arriving at the best set of hyperparameters are high in a random search.
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Jan 29, 2020
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rahuljain1
#hyper-parameters-changes
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When you have a large set of hyperparameters, grid search is preferred over a randomized search.
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Jan 29, 2020
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by
rahuljain1
#hyperparameters
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0
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Linear scale search is usually used for choosing many nodes in the layer.
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Jan 29, 2020
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by
rahuljain1
#linear-scale-search
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0
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Batch normalization cannot perform well when there is a change in the distribution of input.
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Jan 29, 2020
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by
rahuljain1
#batch-normalization
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0
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RMS prop reduces the gradients in the vertical direction of gradient steps.
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Jan 29, 2020
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by
rahuljain1
#rms-prop-gradients
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0
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The role of \epsilon? in adam prop is to _______________________.
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Jan 29, 2020
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by
rahuljain1
#numerical-stability
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0
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The gradients in gradient descent with momentum is based on _____________.
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Jan 29, 2020
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by
rahuljain1
#gradient-descent-weight
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0
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Adam prop is the combination of momentum and RMS prop.
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Jan 29, 2020
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by
rahuljain1
#adam-prop-combination
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0
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GD with momentum smooths out the path taken by gradient descent.
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Jan 29, 2020
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by
rahuljain1
#gradient-descent
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0
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GD with momentum reduces the variance of the model.
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Jan 29, 2020
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by
rahuljain1
#gd-momentum-variance
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1
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In GD with momentum, an increase in the value of \betaß increases the time taken for convergence.
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Jan 29, 2020
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by
rahuljain1
#gd-momentum
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RMS prop multiples the root mean square of a gradient with the current gradient.
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Jan 29, 2020
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by
rahuljain1
#rms-prop
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0
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GD with momentum keeps track of gradients calculated from the previous mini batch.
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Jan 29, 2020
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Other
by
rahuljain1
#gd-momentum
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how do leaders build-in instability
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Jan 22, 2020
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Other
by
sharadyadav1986
#leaders-instability
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0
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What is scrumplop
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Jan 22, 2020
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by
sharadyadav1986
#scrumplop
+1
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0
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toyota kata question template
asked
Jan 22, 2020
in
Other
by
sharadyadav1986
#toyota-kata
+1
vote
1
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hosted email infrastructure is an example for
asked
Jan 22, 2020
in
Other
by
sharadyadav1986
#hosted-infrastructure
host
infrastructure
infrastructure-example
email
0
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0
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The Difference Between Woven Interlining and Nonwoven Interlining
asked
Jan 14, 2020
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by
ublinterlining
interlining
interlining-factory
0
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0
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Benefits and Technology of GF IQF Freezing
asked
Jan 2, 2020
in
Other
by
gfdryermachine
quick
freezing
equipment
gf
machine
0
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0
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Madden NFL 20 Scouting Guide
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Jan 2, 2020
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Other
by
mutnfl20igvault
mut
coins
igvault
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