Neural Networks QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which of the following is a common method for reducing the dimensionality of input data in a neural network?

Question: 2

In a neural network, what is the term used to describe a complete pass through the training data during the training process?

Question: 3

Which of the following is a technique for increasing the amount of training data in a neural network?

Question: 4

What is the purpose of weight initialization in a neural network?

Question: 5

Which of the following is not a type of layer in a neural network?

Question: 6

In a Convolutional Neural Network (CNN), what is the purpose of a filter or kernel?

Question: 7

What is the process of converting input data into a fixed-size vector before feeding it into a neural network called?

Question: 8

Which of the following is a technique for improving the performance of a neural network ensemble?

Question: 9

What is the purpose of the Cross-Entropy Loss function in a neural network?

Question: 10

What is the purpose of the Softmax activation function?

Question: 11

What is the term used to describe the ability of a neural network to generalize well to new, unseen data?

Question: 12

In a Recurrent Neural Network (RNN), what is the purpose of the hidden state?

Question: 13

What is the purpose of the pooling layer in a Convolutional Neural Network (CNN)?

Question: 14

Which of the following is a common method for preventing vanishing gradient problem in deep neural networks?

Question: 15

What is the purpose of batch normalization in a neural network?

Question: 16

What is the basic building block of a neural network?

Question: 17

What is the process of fine-tuning hyperparameters to optimize a neural network's performance called?

Question: 18

Which of the following is not a hyperparameter in a neural network?

Question: 19

What is the term used to describe a neural network that has multiple hidden layers?

Question: 20

What is the purpose of the learning rate in a neural network?

Question: 21

Which of the following optimizers is most commonly used in neural networks?

Question: 22

What is the role of the optimizer in a neural network?

Question: 23

What is the purpose of the loss function in a neural network?

Question: 24

What is the primary difference between a Long Short-Term Memory (LSTM) network and a standard Recurrent Neural Network (RNN)?

Question: 25

Which type of neural network is designed to handle sequence data and has a memory of previous inputs?

Question: 26

In which type of neural network are layers arranged in a hierarchical order, with each layer learning to recognize increasingly complex features?

Question: 27

What is the process of updating weights in a neural network called?

Question: 28

Which of the following is a technique used to prevent overfitting in neural networks?

Question: 29

Which of the following is not a common activation function?

Question: 30

What is the purpose of the activation function in a neural network?