Deep Learning, Signal Processing, Machine Learning.
with some linear or non linear weight and optional bias. After passing every batch of data, the weight of each neuron is adjusted by an optimizer using backpropagation, which is passing the loss backward through the neurons, so that the neurons can adjust their weight to reduce the final loss using