Three Stages of a Convolutional Layer Complex layer terminology Simple layer terminology Next layer Next layer 1. Convolution stage 2. Nonlinearity: a Convolutional Laver nonlinear transform Pooling stage Pooling layer such as rectified linear or tanh Nonlinearity Detector layer: Nonlinearity e. g. rectified linea e.g, rectified linear 3. Pooling: output a Convolution stage: Convolution layer: summary statistics Alline transform Affine transform of local input, such as max pooling and average poolingThree Stages of a Convolutional Layer 1. Convolution stage 2. Nonlinearity: a nonlinear transform such as rectified linear or tanh 3. Pooling: output a summary statistics of local input, such as max pooling and average pooling