Backpropagation neural networks (or "backward propagation of errors") is a method of training artificial neural networks. From a desired output, the network learns from many inputs and adjust the your knowledge until its correct, similar to the way a child learns to identify a specific dog from examples of common dogs.
Backpropagation, an abbreviation for "backward propagation of errors", is a common method of training artificial neural networks. From a desired output, the network learns from many inputs, similar to the way a child learns to identify a dog from examples of dogs.
Backpropagation neural networks (or "backward propagation of errors") is a method of training artificial neural networks. From a desired output, the network learns from many inputs and adjust the your knowledge until its correct, similar to the way a child learns to identify a specific dog from examples of common dogs.