NeuralNetwork

[AI] back-propagation supplementary explanation

0. Overall Explanation: Calculate the hidden neuron value using weights from the input, and calculate the output of network using those values. Obtain the error value of the obtained output and target values and update the weight value to minimize the error value through backpropagation. 1. Each neuron is composed of two units. First unit adds products of weights coefficients and input signals. ..