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Which of these represents the essence of Deep Learning? Building a linear equation to find the best fit line Applying the concept of bootstrap aggregation
Which of these represents the essence of Deep Learning?
Building a linear equation to find the best fit line
Applying the concept of bootstrap aggregation to combine multiple weak learners to build a strong model
Creating multiple learning layers that involve building complex hierarchical representations from simple building blocks
None of the others mentioned
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