Weights

weights - they're the values that represent the strength of the connection 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, both weights and biases are adjusted to minimize the difference between the predicted output and the actual output.