Convolution(conv) layer Example: From the input layer to the first hidden layer · The first hidden layer represents the filter outputs of a certain input neurons first hidden layer feature ·So, what is a feature? · Answer is in the next slide isualization of 5 x 5 filter convolving around an input volume and producing an activation map ch9. CNN. V9b3Convolution (conv) layer: Example: From the input layer to the first hidden layer • The first hidden layer represents the filter outputs of a certain feature • So, what is a feature? • Answer is in the next slide ch9. CNN. V9b3 10