Which of the following statements a), b) or c) is false?
A) Numeric features in data samples may have value ranges that vary widely. Deep learning networks perform better on data that is scaled either into the range 0.0 to 1.0, or to a range for which the data's mean is 1.0 and its standard deviation is 0.0. Getting your data into one of these forms is known as xe "normalized data"normalization.
B) In MNIST, each pixel is an integer in the range 0-255.
C) Assuming X_train and X_test represent the MNIST samples, the following code converts the MNIST pixel values to 32-bit (4-byte) floating-point numbers using the xe "NumPy:convert array to floating-point values"NumPy array method astype, then divides every element in the resulting array by 255, producing normalized values in the range 0.0-1.0:
X_train = X_train.astype('float32') / 255
X_test = X_test.astype('float32') / 255
D) All of the above statements are true.

Question

Quizplus · Accepted Answer

The Answer of Which of the following statements a), b) or c) is false?
A) Numeric features in data samples may have value ranges that vary widely. Deep learning networks perform better on data that is scaled either into the range 0.0 to 1.0, or to a range for which the data's mean is 1.0 and its standard deviation is 0.0. Getting your data into one of these forms is known as xe "normalized data"normalization.
B) In MNIST, each pixel is an integer in the range 0-255.
C) Assuming X_train and X_test represent the MNIST samples, the following code converts the MNIST pixel values to 32-bit (4-byte) floating-point numbers using the xe "NumPy:convert array to floating-point values"NumPy array method astype, then divides every element in the resulting array by 255, producing normalized values in the range 0.0-1.0:
X_train = X_train.astype('float32') / 255
X_test = X_test.astype('float32') / 255
D) All of the above statements are true.

Which of the Following Statements A), B) or C) Is