Lehrstuhl für Informatik 2 Gabriella Kókai: Maschine Learning The Backpropagation Algorithm Initialise all weights to small random numbers Until termi
{"Image DocumentName": "The Backpropagation Algorithm", "Image ImageDescription": "Initialise all weights to small random numbers. Until termination criterion satisfied do. For each training example do. Compute the network s outcome. For each output unit k. For each hidden unit h. Update each network weight where.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}