Which of the following statement about the matrix is incorrect?
A.
The arbitrary matrix is multiplied by the unit matrix and will not change
B.
The transpose of the symmetric matrix A 1s also A itself.
C.
The transpose of the orthogonal matrix A is equal to the inverse of A.
D.
There is no inverse matrix for the diagonal matrix.
There is no inverse matrix for the diagonal matrix.
Which of the following description of the number of rows and columns of the matrix is correct?
A.
The number of rows 1s greater than the number of columns
B.
The number of rows 1s equal to the number of columns
C.
The number of rows is less than the number of columns
D.
The number of rows has no relationship with the number of columns.
The number of rows has no relationship with the number of columns.
Which of the following neural network structures will share weights? (Multiple choice)
A.
Convolutional neural network
B.
Recurrent neural network
C.
Fully connected neural network
D.
All of the above
Convolutional neural network
Recurrent neural network
Which of the following is true about unsupervised learning?
A.
Unsupervised algorithm only processes “features” and does not process ·tags·
B.
Dimensionality reduction algorithm is not unsupervised learning
C.
K-means algorithm and SVM algorithm belong lo unsupervised learning
D.
None of the above
Unsupervised algorithm only processes “features” and does not process ·tags·
What is the incorrect relationship between neural networks and deep learning?
A.
The concept of deep learning sterns from the study or artificial neural networks.
B.
A neural network algorithm with multiple hidden layers is a deep learning algorithm
C.
Single layer neural networks are also a type of deep learning
D.
Convolutional neural networks are a type of deep learning.
Single layer neural networks are also a type of deep learning
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