Neural Network

Which of the following is a common activation function used in neural networks?

• Linear
• Sigmoid
• Exponential
• Polynomial

In the context of neural networks, what is a perceptron?

• A type of error function
• A layer of neurons
• A single neuron model
• A weight initialization technique

What is the primary role of an activation function in a neural network?

• To update weights
• To provide non-linearity
• To reduce the loss
• To determine the learning rate

What does backpropagation primarily aim to do in training a neural network?

• Increase the number of neurons
• Reduce the training time
• Minimize the cost function
• Stabilize the bias

Which of the following algorithms is commonly used for optimizing neural networks?

• K-Means
• Adam
• Apriori
• DBSCAN

Convolutional Neural Networks (CNNs) primarily deal with what type of data?

• Sequential Data
• Tabular Data
• Image Data
• Time Series Data

What is the purpose of the dropout technique in neural networks?

• Increasing the training set size
• Reducing overfitting
• Optimizing the output layer
• Enhancing the gradient descent

Which architecture is most suitable for processing sequential data?

• CNN
• MLP
• RNN
• SVM

What does "ReLU" stand for in neural networks?

• Reduced Linear Unit
• Rectified Linear Unit
• Recursive Linear Unit
• Random Linear Unit

Hyperparameter tuning in neural networks involves:

• Adjusting model weights
• Selecting optimal activation functions
• Modifying network architecture
• Choosing learning rate and other settings