Theory of Back Propagation Neural Net (BPnn Use many samples to train the weights w)& Biases(b), so it can be used to classify an unknown input into different classes Will explain How to use it after training forward pass (classify yor the recognition of the input How to train it how to train the weights and biases ( using forward and backward passes Neural Networks Ch9, ver. 9bTheory of Back Propagation Neural Net (BPNN) • Use many samples to train the weights (W) & Biases (b), so it can be used to classify an unknown input into different classes • Will explain – How to use it after training: forward pass (classify /or the recognition of the input ) – How to train it: how to train the weights and biases (using forward and backward passes) Neural Networks Ch9. , ver. 9b 6