Question

In delta rule the target value for each neuron is calculated?

Answer 1

Explanation:

In machine learning, the Delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single-layer neural network. It is a special case of the more general backpropagation algorithm

Answer 2

Answer:

The Delta rule in machine learning and neural network environments is a specific type of backpropagation that helps to refine connectionist ML/AI networks, making connections between inputs and outputs with layers of artificial neurons. The Delta rule is also known as the Delta learning rule.