VGG used ensemble to improve their model , what is ensemble learning?
Ensemble learning
Hey @nikhil_sarda
Ensemble learning is the process by which multiple models, such as classifiers, are strategically generated and their results are combined to solve a particular computational intelligence problem.
It is primarily used to improve the performance on a problem through the use of multiple models, such that, the poor performance of a model is nullified by another good one.
In case of CNNs (like VGG), we can train multiple models with the same architecture but with different random initialization to do ensemble learning.
Hope this helps!
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