by Michele Laurelli
Learnable parameters in neural networks that determine the strength of connections between neurons.
Weights are adjusted during training to minimize loss. Multiplied with inputs in each neuron. Core of what model learns.
Connection weight: 0.5
Weight matrix
Learned parameters