I've recently read about maxout in slides of a lecture and in the paper.Is maxout the same as max pooling?
Is Maxout the same as max pooling?
machine learning;convnet
They are almost identical:The second key reason that maxout performs well is  that it improves the bagging style training phase of  dropout. Note that the arguments in section 7 motivating  the use of maxout also apply equally to rectified  linear units (Salinas & Abbott, 1996; Hahnloser, 1998;  Glorot et al., 2011). The only difference between maxout  and max pooling over a set of rectified linear units  is that maxout does not include a 0 in the max.Source: Maxout Networks.