In a neural network, the ______________ function measures the difference between the actual output and the predicted output.

The output of a node in an artificial neural network is generally derived from:Group of answer choicesthe strongest input of the node.the sum of the inputs of the node multiplied by the node’s weight.the node’s weight divided by the sum of its inputs.the activation function applied to the weighted sum of the node’s inputs.

A neuron in an artificial neural network performs a ______________ operation followed by an activation function to produce an output.

The ______________ function is often used as an activation function in the output layer of a binary classification problem.

In supervised learning, if the model's predicted output is very different from the actual training data output, this is known as

What is the Statistical concept behind the Neural Networks Your answer