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

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

Testing

Validation

Inference

2 / 40

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

Autoencoder

Convolutional Neural Network (CNN)

Multilayer Perceptron (MLP)

3 / 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

4 / 40

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

Fully Connected

Pooling

Activation

5 / 40

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

Deep Belief Network (DBN)

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

6 / 40

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

Loops

Branches

Cycles

7 / 40

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

Random initialization

Zero initialization

He initialization

8 / 40

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

Autoencoder

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

9 / 40

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

Output

Input

Hidden

10 / 40

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

K-Means

Gradient Descent

Backpropagation

11 / 40

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

Gradient Descent

Backpropagation

Activation Maximization

12 / 40

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

Define the number of training epochs

Determine the number of hidden layers

Control the step size of weight updates

13 / 40

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

Activation

Weight

Learning Rate

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 common method to deal with imbalanced datasets in Neural Networks?

Undersampling

Both

Oversampling

16 / 40

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

Slower convergence

Increased generalization

Higher memory requirement

17 / 40

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

Multilayer Perceptron (MLP)

Convolutional Neural Network (CNN)

Recurrent Neural Network (RNN)

18 / 40

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

Reduce computational complexity

Improve convergence speed

Convert raw scores into probabilities

19 / 40

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

Activation visualization

Filters visualization

Gradient visualization

20 / 40

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

Recurrent Neural Network (RNN)

Autoencoder

Multilayer Perceptron (MLP)

21 / 40

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

Dense

Pooling

Convolutional

22 / 40

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

Generative Adversarial Network (GAN)

Autoencoder

Self-Organizing Map (SOM)

23 / 40

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

Image Classification

Clustering

Reinforcement Learning

24 / 40

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

Sentiment Analysis

Image Classification

Time Series Prediction

25 / 40

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

Recurrent Neural Network (RNN)

Generative Adversarial Network (GAN)

Autoencoder

26 / 40

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

Convolutional Neural Network (CNN)

Multilayer Perceptron (MLP)

Recurrent Neural Network (RNN)

27 / 40

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

Provide additional capacity

Shift the activation function

Prevent overfitting

28 / 40

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

Recurrent Neural Network (RNN)

Autoencoder

Generative Adversarial Network (GAN)

29 / 40

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

Batch Normalization

Max Pooling

Dropout

30 / 40

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

Tanh

Sigmoid

ReLU

31 / 40

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

Tanh

Sigmoid

ReLU

32 / 40

Which of the following activation functions is linear?

Identity

Sigmoid

ReLU

33 / 40

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

Longer training time

More prone to overfitting

Limited learning capacity

34 / 40

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

Fully Connected

Convolutional

Pooling

35 / 40

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

Adam

K-Means

Decision Tree

36 / 40

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

Model parallelism

Task parallelism

Data parallelism

37 / 40

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

Tanh

Sigmoid

Linear

38 / 40

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

Computationally expensive

Prone to underfitting

Limited expressiveness

39 / 40

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

Autoencoder

Recurrent Neural Network (RNN)

Multilayer Perceptron (MLP)

40 / 40

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

Regularization

Accelerating training

Preventing local minima

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Computer MCQs 360April 10, 2024

0 25 1 minute read