Artificial Intelligence

Neural Networks MCQs With Answers

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 MCQs

Neural Networks Quiz

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1 / 40

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

2 / 40

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

3 / 40

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

4 / 40

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

5 / 40

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

6 / 40

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

7 / 40

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

8 / 40

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

9 / 40

Which of the following activation functions is linear?

10 / 40

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

11 / 40

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

12 / 40

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

13 / 40

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

14 / 40

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

15 / 40

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

16 / 40

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

17 / 40

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

18 / 40

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

19 / 40

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

20 / 40

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

21 / 40

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

22 / 40

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

23 / 40

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

24 / 40

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

25 / 40

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

26 / 40

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

27 / 40

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

28 / 40

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

29 / 40

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

30 / 40

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

31 / 40

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

32 / 40

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

33 / 40

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

34 / 40

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

35 / 40

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

36 / 40

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

37 / 40

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

38 / 40

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

39 / 40

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

40 / 40

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

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