choose multiple choose

$*$What is an example of a basic task a neural network can perform?

$1$Recognizing different types of fruits

$2$Translating a whole book from one language to another

$3$Solving complex mathematical equations $*$What does the backpropagation algorithm do in a neural network?

$1$Helps the network learn from its mistakes

$2$Sets the learning rate for the network

$3$Sets the initial values for the network's weights and biases $*$ What is the purpose of the loss function in a neural network?

$1$To measure how well the network is performing

$2$To calculate the weighted sum of inputs

$3$To adjust the learning rate of the network $*$What does dropout regularization do in a neural network?

$1$Increases the learning rate

$2$Reduces overfitting

$3$Sets the initial values for the network's weights and biases $*$ Which method is commonly used to update the weights in a neural network?

$1$Changing the weights randomly

$2$Using the average of the input values

$3$Using an algorithm called gradient descent $*$What is the purpose of the hidden layers in a neural network?

$1$To process the input data and produce an output

$2$To add complexity and learn complex patterns

$3$To adjust the learning rate of the network

$*$What is the role of the bias term in a neuron?

$1$To do calculations with the inputs

$2$To make the network work faster

$3$To shift the output of the neuron Linear Unit$)$

$2$Sigmoid

$3$Tanh $($Hyperbolic Tangent$)$ What is the purpose of the gradient in a neural network?

$1$To measure how well the network is performing

$2$To guide the weight updates during training

$3$To set the learning rate of the network