A. Random gradient descent is a commonly used one in gradient descent.
B. Random gradient descent is one of the commonly used optimization algorithms in deep learning algorithms.
C. Gradient descent includes random gradient descent and batch gradient descent.
D. The gradient descent algorithm is fast and reliable.
A. Weighted Sigmoid Cross Entropy
B. Sparse cross entropy
C. Mean variance
D. Sigmoid cross entropy
E. Softmax cross entropy
A. Invented in 1989 by the Dutch Guido van Rossum, the first public release was issued in 1991.
B. Python is purely free software and the source code follows the GPL (GNU General Public License) protocol.
C. Python syntax is simple and clean. One of the features is to force blank characters to be used as statement indentation.
D. Python is often nicknamed glue language, which can easily connect various modules made in other languages.
A. Deep learning
B. Graph engine
C. Machine learning
D. Batch processing
A. True
B. False
A. Dropout
B. L1 norm, L2 norm
C. Data set enhancement
D. Integration method
A. Unsupervised algorithm only processes "features" and does not process "tags"
B. None of the above
C. Dimensionality reduction algorithm is not unsupervised learning
D. K-means algorithm and SVM algorithm belong to unsupervised learning
A. double64
B. int8
C. float32
D. bool
