Neural Network Quiz

What is the feedforward process in a neural network?

What happens during the backpropagation phase of training in a neural network?

What is the main advantage of using the ReLU activation function compared to sigmoid and tanh?

What is the output range of the sigmoid activation function?

• [-1, 1]

• [0, 1]

• (-∞, ∞)

• [0, ∞)

Which of the following activation functions suffers from the vanishing gradient problem?

• Sigmoid

• Tanh

• ReLU

• Softmax

In a single-layer perceptron, how are input features combined to produce the output?

• Through a series of hidden layers

• By applying an activation function directly to the inputs

• By computing the dot product of input features and weights

• By using a softmax function

Which of the following activation functions is used to convert the output of a neuron into a probability distribution?

• Sigmoid

• Tanh

• ReLU

• Softmax

What is a perceptron?

• A type of neural network used for unsupervised learning

• A type of artificial neuron used for binary classification

• A type of activation function

• A type of reinforcement learning algorithm

In a neural network, what is the purpose of the output layer?

• To compute the dot product of input features and weights

• To introduce non-linearity into the model

• To convert the output of neurons into predictions

• To initialize the weights of the network

What is the main limitation of a single-layer perceptron?

• It cannot learn non-linear decision boundaries

• It requires a large number of training examples

• It has a slow convergence rate

• It is sensitive to feature scaling