Weights

weights - these values show how strong the link is between two nodes in a neural network.

bias - values held by the neuron in the neural network.

Parameters - Weights and biases together are called parameters of the model.

adjusting weights and bias

During training, we adjust both weights and biases. The goal is to shrink the gap between the predicted output and the real output.