APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
What does the deep in deep learning stand for?
|
|
it stands for this idea of regressivelayers of representations.
|
|
|
it stands for this idea of progressives’layers of representations. How
|
|
|
it stands for this idea of successivelayers of representations.
|
|
|
None of the above
|
Explanation:
Detailed explanation-1: -The “deep”in deep learning simply stands for the idea of successive layers of representations that contribute to a model of data that is referred to as the “depth” of the model. These successive layers of representations can run into the ten or hundreds of layers of representations.
Detailed explanation-2: -Representation learning is a class of machine learning approaches that allow a system to discover the representations required for feature detection or classification from raw data. The requirement for manual feature engineering is reduced by allowing a machine to learn the features and apply them to a given activity.
There is 1 question to complete.