APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What does np.zero() do?
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Creates a matrix filled with zeroes
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Squares the input
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Takes a list as input, and replaces negative numbers with zero
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Takes two lists as input, and returns the matrix product of them both
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Explanation:
Detailed explanation-1: -Python numpy. zeros() function returns a new array of given shape and type, where the element’s value as 0.
Detailed explanation-2: -Create a 3-Dimensional Zeros Matrix in Numpy # Creating a 3-Dimensional Zeros Matrix import numpy as np matrix 3d = np. zeros((3, 3, 2)) print(matrix 3d) # Returns: # [[[0. 0.] # [0.
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