DL quiz

DL quiz

5 Qs

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DL quiz

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Assessment

Quiz

Hard

Created by

Asst.Prof.,CSE Chennai

Used 5+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is gradient descent?

a way to determine how well the machine learning model has performed given the different values of each parameter

method to increase the speed of Neural Network operation

an optimization algorithm used to find the values of parameters (coefficients) of a function (f) that minimizes a cost function (cost)

different name for activation function

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is optimization in the context of mathematics and engineering?

Finding the absolute maximum value of a function

Solving complex equations

Minimizing the number of variables in a system

Maximizing the randomness of a system

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a common optimization technique?

Gradient Descent

Genetic Algorithms

Linear Regression

Simulated Annealing

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In optimization, what does the term "local minimum" refer to?

The smallest value of a function in the entire domain

The smallest value of a function in a specific region of the domain

The largest value of a function in the entire domain

The largest value of a function in a specific region of the domain

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main advantage of Stochastic Gradient Descent (SGD) compared to traditional Gradient Descent?

SGD always converges to the global minimum

SGD uses the entire dataset in each iteration

SGD is more computationally efficient for large datasets.

SGD guarantees a more accurate convergence