A. Stemming
B. Lemmatization
C. Tokenization
D. None of them
View AnswerB. Lemmatization
Artificial Intelligence MCQs
Normalizing words into its base form is known as.
A. Stemming
B. Lemmatization
C. Tokenization
D. None of them
View AnswerA. Stemming
Breaking a complex sentences into words is called.
A. Stemming
B. Lemmatization
C. Tokenization
D. None of them
View Answer C. Tokenization
For scaling which method is used.
A. Scaling
B. Minmaxscaler
C. Measuring
D. None of them
View AnswerB. Minmaxscaler
Which method is used to reduced the error / loss in the network.
A. Gradient descent
B. Gbm
C. Svm
D. None of them
View Answer A. Gradient descent
Training a neural network is all about.
A. Inputs
B. Back propagation
C. Desired outputs
D. None of them
View AnswerB. Back propagation
A very important concept of the multiple layer perceptron is.
A. Feature extraction
B. Data processing
C. Back propagation
D. None of them
View AnswerC. Back propagation
Multilayer perceptron contain one or more hidden layer that’s why it considers.
A. Neural network
B. Deep neural network
C. Svm
D. None of them
View AnswerB. Deep neural network
A single layer perceptron is.
A. Linear classifier
B. Binary classifier
C. Both a & b
D. None of them
View AnswerC. Both a & b
The first layer of deep learning is known as.
A. Input layer
B. Output layer
C. Hidden layer
D. None of them
View AnswerA. Input layer