Question

2 points
Q. 16] Which of the following
statement does not belong to
Dropout?
Dropout can be compared to
O bagging technique in machine
learning
O
Dropout is implemented only in
hidden layers
O
Dropout is implemented only during
training phase of the model
O All of the above​

Answer 1

All of the following statement which are given below does not belong to drop out.

Option d

Explanation:

• dropout is actually the opposite of the bagging technique. Dropout please a very important role in case of machine learning.
• Dropout is present only when there is no hidden layers present in the database. it is a very useful tool in the demonstration and the installation of a particular model. There is no hidden layer and as a result of this it can be easily used during the training phase of the machine learning