Numerical Example: Architecture of our example( see code in appendix) Input hidden output ayer 9x 1 pixe/s ayer Layer 3x1 W=5 neurons x 9 inputs for each neuron b=5neurons x 1(1 bias for each neuron) W=weights, b'= biases, fo for each neuron Neural Networks Ch9. ver. 9bNumerical Example : Architecture of our example (see code in appendix) • Neural Networks Ch9. , ver. 9b 21 Input Layer 9x1 pixels output Layer 3x1 b 5 neurons x 1(1 bias for each neuron) W 5 neurons x 9 inputs for each neuron layer hidden = = l l x l x W weights,b biases, f () for each neuron l l = =