
Understanding Back Propagation

Quiz
•
Engineering
•
University
•
Hard
SONALI PATIL
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of the Gradient Descent Optimization?
To maximize the cost function.
To minimize the cost function.
To increase the number of iterations.
To stabilize the learning rate.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the learning rate affect the convergence of the model?
The learning rate only affects the model's accuracy, not convergence.
The learning rate affects convergence by controlling the step size towards the minimum; too high can cause divergence, too low can slow down convergence.
A higher learning rate always guarantees faster convergence.
The learning rate has no effect on convergence.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the common types of activation functions used in neural networks?
Exponential
Sigmoid, Tanh, ReLU, Leaky ReLU, Softmax
Polynomial
Linear
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the difference between Mean Squared Error and Cross-Entropy in error calculation.
Mean Squared Error is used for classification tasks, while Cross-Entropy is used for regression tasks.
Mean Squared Error is always preferred over Cross-Entropy for all types of tasks.
Mean Squared Error is used for regression tasks, while Cross-Entropy is used for classification tasks.
Mean Squared Error measures probabilities, while Cross-Entropy measures distances.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the implications of poor weight initialization on training a neural network?
Poor weight initialization can slow down training, cause convergence issues, and lead to suboptimal performance.
Improved weight initialization can enhance training speed.
Poor weight initialization guarantees optimal convergence.
Weight initialization has no effect on model performance.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can overfitting be identified in a machine learning model?
The model shows consistent performance across all datasets.
Overfitting can be identified by a significant performance gap between training and validation/test datasets.
The model has a high accuracy on the training dataset only.
The model performs equally well on both training and validation datasets.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are some common techniques used for regularization in neural networks?
Batch normalization
Activation functions
Gradient descent
L1 regularization, L2 regularization, dropout, early stopping, data augmentation.
Create a free account and access millions of resources
Similar Resources on Wayground
10 questions
quiz

Quiz
•
University
10 questions
Data Science Unit 1 Quiz

Quiz
•
University
15 questions
Exploring Optimization Concepts

Quiz
•
University
11 questions
Quiz on Language Modeling and PoS Tagging

Quiz
•
University
10 questions
Entrepreneurship Quiz

Quiz
•
University
10 questions
NLP Module 2.1

Quiz
•
University
11 questions
1.1 - OnShape Overview

Quiz
•
10th Grade - University
11 questions
FlexSim Basic Foundations

Quiz
•
University
Popular Resources on Wayground
10 questions
Lab Safety Procedures and Guidelines

Interactive video
•
6th - 10th Grade
10 questions
Nouns, nouns, nouns

Quiz
•
3rd Grade
10 questions
9/11 Experience and Reflections

Interactive video
•
10th - 12th Grade
25 questions
Multiplication Facts

Quiz
•
5th Grade
11 questions
All about me

Quiz
•
Professional Development
22 questions
Adding Integers

Quiz
•
6th Grade
15 questions
Subtracting Integers

Quiz
•
7th Grade
9 questions
Tips & Tricks

Lesson
•
6th - 8th Grade
Discover more resources for Engineering
21 questions
Spanish-Speaking Countries

Quiz
•
6th Grade - University
20 questions
Levels of Measurements

Quiz
•
11th Grade - University
7 questions
Common and Proper Nouns

Interactive video
•
4th Grade - University
12 questions
Los numeros en español.

Lesson
•
6th Grade - University
7 questions
PC: Unit 1 Quiz Review

Quiz
•
11th Grade - University
7 questions
Supporting the Main Idea –Informational

Interactive video
•
4th Grade - University
12 questions
Hurricane or Tornado

Quiz
•
3rd Grade - University
7 questions
Enzymes (Updated)

Interactive video
•
11th Grade - University