What to know how devices can recognize faces, voices and can classify images?! Devices use a series of algorithms called neural networks 🧠🤖to learn any arbitrary mapping of input to output. Backpropagtion, short for “backward propagation of errors,” calculates the gradient of the error function with respect to the neural network’s weights. Partial computations of the gradient from one layer are reused in the computation of the gradient for the previous layer. This backwards flow of the error information provides an ideal way to update the network while training and optimize it for mind blowing tasks in #artificialintelligence! #tech