Forward Propagation and Backpropagation Simplified
Artificial neural networks draw inspiration from the methods by which the human brain handles information. They are made up of several layers of interconnected nodes that transmit information ahead, modify internal settings, and progressively enhance performance through the learning process. Two core processes make this learning possible, forward propagation and backpropagation. Understanding...
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