Neural Networks MCQs With Answers

Computer MCQs 360April 10, 2024

0 25 1 minute read

Welcome to the Neural Networks MCQs with Answers. In this post, we have shared Neural Networks Online Test for different competitive exams. Find practice Neural Networks Practice Questions with answers in Computer Tests exams here. Each question offers a chance to enhance your knowledge regarding Neural Networks.

Neural Networks Online Quiz

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Test Name: Neural Networks MCQ Quiz Practice
Type: Quiz Test
Total Questions: 40
Total Marks: 40
Time: 40 minutes

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Neural Networks Quiz

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1 / 40

In a feedforward Neural Network, connections between nodes do not form ____________.

Cycles

Branches

Loops

2 / 40

Which type of Neural Network is commonly used for image generation tasks?

Recurrent Neural Network (RNN)

Autoencoder

Generative Adversarial Network (GAN)

3 / 40

Which of the following is a common application of a Self-Organizing Map (SOM)?

Clustering

Reinforcement Learning

Image Classification

4 / 40

Which Neural Network architecture is suitable for processing sequences of data?

Autoencoder

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

5 / 40

Which of the following is a common method to deal with imbalanced datasets in Neural Networks?

Oversampling

Both

Undersampling

6 / 40

Which of the following is used to initialize the weights of a Neural Network?

He initialization

Zero initialization

Random initialization

7 / 40

Which type of Neural Network is used for anomaly detection in data?

Autoencoder

Recurrent Neural Network (RNN)

Multilayer Perceptron (MLP)

8 / 40

Which of the following is a common method to address vanishing gradients in deep Neural Networks?

Using skip connections

Using ReLU activation

Using L1 regularization

9 / 40

Which type of Neural Network is used for learning continuous representations of data?

Autoencoder

Self-Organizing Map (SOM)

Generative Adversarial Network (GAN)

10 / 40

Which type of Neural Network is capable of learning from past experiences and has memory?

Recurrent Neural Network (RNN)

Convolutional Neural Network (CNN)

Multilayer Perceptron (MLP)

11 / 40

Which layer of a Neural Network is responsible for reducing the dimensionality of the input data?

Pooling

Convolutional

Dense

12 / 40

What is the purpose of the bias term in a Neural Network?

Prevent overfitting

Shift the activation function

Provide additional capacity

13 / 40

Which of the following is a hyperparameter of a Neural Network?

Weight

Learning Rate

Activation

14 / 40

The process of adjusting the weights and biases of a Neural Network to minimize error is known as ___________.

Activation

Testing

Training

15 / 40

Which of the following is a drawback of using a deep Neural Network?

Computationally expensive

Prone to underfitting

Limited expressiveness

16 / 40

Which of the following is a disadvantage of using a large batch size in training a Neural Network?

Higher memory requirement

Slower convergence

Increased generalization

17 / 40

Which type of Neural Network is used for unsupervised learning of efficient codings of input data?

Convolutional Neural Network (CNN)

Multilayer Perceptron (MLP)

Autoencoder

18 / 40

Which type of Neural Network is specifically designed for processing sequential data?

Autoencoder

Multilayer Perceptron (MLP)

Recurrent Neural Network (RNN)

19 / 40

Which of the following is a disadvantage of using a shallow Neural Network compared to a deep Neural Network?

More prone to overfitting

Longer training time

Limited learning capacity

20 / 40

Which layer of a Neural Network is responsible for combining features learned by previous layers?

Pooling

Convolutional

Fully Connected

21 / 40

Which Neural Network architecture is often used for generating new data similar to the training data?

Recurrent Neural Network (RNN)

Generative Adversarial Network (GAN)

Autoencoder

22 / 40

Which of the following is used to prevent overfitting in a Neural Network?

Max Pooling

Dropout

Batch Normalization

23 / 40

Which layer of a Neural Network typically follows a convolutional layer in a CNN?

Activation

Fully Connected

Pooling

24 / 40

Which type of Neural Network is known for its ability to approximate any continuous function?

Recurrent Neural Network (RNN)

Convolutional Neural Network (CNN)

Multilayer Perceptron (MLP)

25 / 40

What is the primary purpose of the dropout technique in a Neural Network?

Preventing local minima

Regularization

Accelerating training

26 / 40

Which of the following is a common use case of Convolutional Neural Networks (CNNs)?

Image Classification

Sentiment Analysis

Time Series Prediction

27 / 40

Which of the following is a technique to visualize the activations of different layers in a Neural Network?

Gradient Descent

Activation Maximization

Backpropagation

28 / 40

In a Neural Network, weights and biases are updated using which algorithm?

K-Means

Backpropagation

Gradient Descent

29 / 40

Which of the following is a common optimization algorithm used for training Neural Networks?

Decision Tree

K-Means

Adam

30 / 40

Which of the following activation functions is linear?

Identity

ReLU

Sigmoid

31 / 40

Which of the following is a technique to visualize the learned features in a Convolutional Neural Network (CNN)?

Activation visualization

Gradient visualization

Filters visualization

32 / 40

What is the purpose of the learning rate in training a Neural Network?

Determine the number of hidden layers

Define the number of training epochs

Control the step size of weight updates

33 / 40

The process of evaluating a trained Neural Network on unseen data is known as ___________.

Validation

Testing

Inference

34 / 40

The ___________ layer in a Neural Network is responsible for making predictions.

Hidden

Output

Input

35 / 40

Which activation function is most commonly used in the output layer of a regression Neural Network?

Tanh

Sigmoid

Linear

36 / 40

Which activation function is commonly used in the output layer of a binary classification Neural Network?

ReLU

Tanh

Sigmoid

37 / 40

What is the purpose of the softmax function in a Neural Network?

Convert raw scores into probabilities

Reduce computational complexity

Improve convergence speed

38 / 40

Which activation function is commonly used in the hidden layers of a Neural Network?

Sigmoid

Tanh

ReLU

39 / 40

Which of the following is not a type of Neural Network?

Convolutional Neural Network (CNN)

Deep Belief Network (DBN)

Recurrent Neural Network (RNN)

40 / 40

Which of the following is a technique used to train Neural Networks on multiple GPUs or machines?

Model parallelism

Data parallelism

Task parallelism

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Computer MCQs 360April 10, 2024

0 25 1 minute read