Concise Visual Summary of Deep Learning Architectures

With new neural network architectures popping up every now and then, it's hard to keep track of them all. AEs, simply map whatever they get as input to the closest training sample they "remember". RNNs sometimes refer to recursive neural networks, but most of the time they refer to recurrent neural networks. Many abbreviations also vary in the amount of "N"s to add at the end, because you could call it a convolutional neural network but also simply a convolutional network (resulting in CNN or CN).