Neural networks (ANN) are used to simulate neural systems, syncing modules in layers. They are built by stacking multiple neurons in layers, with input and output layers. Each neuron has an activation function, and the network’s parameters are weights and biases. The goal is to learn network parameters so the predicted outcome matches the ground truth, using backpropagation along the loss function.
Visit us @ https://pubrica.com/services/research-services/