Can the powerful backpropagation of error  (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry ?
<clarity> Can the powerful backpropagation of error  (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry ?
The backpropagation of error (backprop) learning algorithm be formulated in a manner suitable for implementation in neural circuitry ?