
Assingment-1 Quiz
Quiz
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Information Technology (IT)
•
University
•
Practice Problem
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Easy
Raaji M
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25 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
In linear algebra, a scalar is a single number, while a vector is an array of numbers. What is a tensor?
A tensor is a vector with more than three dimensions.
A tensor is a data structure representing a multi-dimensional array.
A tensor is an array of vectors.
A tensor is a special type of matrix with only positive values.
2.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
The goal of gradient-based optimization is to minimize a function by taking steps proportional to the negative of the gradient. This is because the gradient points in the direction of the function's steepest _________________.
convexity
decrease
increase
linearity
3.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
Which of the following is an example of a hyperparameter?
Learning rate
Weights of a neural network
The input data
Bias of a neural network
4.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
Which of the following describes the relationship between bias and variance?
A high-bias model is likely to have low variance.
High bias and high variance occur simultaneously.
Bias and variance are independent of each other.
A high-variance model is likely to have low bias.
5.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
Stochastic gradient descent (SGD) differs from standard gradient descent in that it computes the gradient on a _______________ instead of the entire dataset.
validation set
randomly selected subset
larger batch of data
single data point or small batch
6.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
A fully-connected feedforward network is called 'deep' when it has more than one _______________ layer between the input and output layers.
regularization
hidden
activation
softmax
7.
MULTIPLE CHOICE QUESTION
45 sec • 2 pts
Regularization is a technique used to prevent _________________ in a model.
instability
underfitting
convergence
overfitting
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