What is the primary focus of backpropagation through time in recurrent neural networks?
Fundamentals of Neural Networks - Backward Propagation Through Time

Interactive Video
•
Information Technology (IT), Architecture, Mathematics
•
University
•
Hard
Quizizz Content
FREE Resource
Read more
7 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To improve the speed of training
To handle time-stamped loss functions
To optimize the architecture of the network
To enhance the forward pass of information
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a basic recurrent neural network, how does information flow for each neuron?
From the output to the input
In a single direction
Only from the previous neuron
From two directions
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of computing loss at each time step in an RNN?
To adjust the learning rate
To determine the network's architecture
To predict future inputs
To compare predictions with actual values
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which loss function is mentioned for use at each timestamp in the lecture?
Mean Squared Error
Binary Cross-Entropy
Hinge Loss
Categorical Cross-Entropy
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of optimization algorithms in minimizing the loss function?
To reduce the number of layers
To find the optimal weights
To increase the number of neurons
To enhance the activation function
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which optimization technique is suggested as a starting point for minimizing loss?
Stochastic Gradient Descent
Adam Optimizer
RMSProp
Gradient Descent
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is crucial when selecting an optimization algorithm for a dataset?
The size of the dataset
The prior experience of the data scientist
The number of epochs
The type of activation function used
Similar Resources on Quizizz
2 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Loss Function

Interactive video
•
University
4 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Example Setup

Interactive video
•
University
2 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Example Setup

Interactive video
•
University
4 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Example Setup

Interactive video
•
University
8 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Example Setup

Interactive video
•
University
2 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations

Interactive video
•
University
2 questions
Deep Learning CNN Convolutional Neural Networks with Python - Example Setup

Interactive video
•
University
8 questions
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations

Interactive video
•
University
Popular Resources on Quizizz
15 questions
Multiplication Facts

Quiz
•
4th Grade
25 questions
SS Combined Advisory Quiz

Quiz
•
6th - 8th Grade
40 questions
Week 4 Student In Class Practice Set

Quiz
•
9th - 12th Grade
40 questions
SOL: ILE DNA Tech, Gen, Evol 2025

Quiz
•
9th - 12th Grade
20 questions
NC Universities (R2H)

Quiz
•
9th - 12th Grade
15 questions
June Review Quiz

Quiz
•
Professional Development
20 questions
Congruent and Similar Triangles

Quiz
•
8th Grade
25 questions
Triangle Inequalities

Quiz
•
10th - 12th Grade