Back Propagation Neural Net ( BPnn Forward pass Forward pass is to find the output when an input is given For example: Assume we have used N=60,000 images MNIST database)to train a network to recognize c=10 numerals When an unknown image is given to the input, the output neuron corresponds to the correct answer will give the highest output level l=1 X 0 0 Input mage W 8 Input layer Output layer Hidden layers 10 output neurons for 0, 1, 2, .. 9 Neural Networks Ch9Back Propagation Neural Net (BPNN) Forward pass • Forward pass is to find the output when an input is given. For example: • Assume we have used N=60,000 images (MNIST database) to train a network to recognize c=10 numerals. • When an unknown image is given to the input, the output neuron corresponds to the correct answer will give the highest output level. Neural Networks Ch9. , ver. 9b 19 10 output neurons for 0,1,2,..,9 Input image 0 0 0 1 0 0