Are the layer names the same ones referred to in this paper? https://arxiv.org/abs/1409.4842 https://arxiv.org/abs/1409.4842 And how can e.g. layer3a be genera

Are the layer names the same ones referred to in this paper? https://arxiv.org/abs/1409.4842 https://arxiv.org/abs/1409.4842 And how can e.g. layer3a be generated from layer conv2d0? By convolving with a linear kernel? Or by the entire Inception Module including the linear and the non-linear operations? Thank you. Outstanding work breaking it down. Here's another paper people might enjoy. The author generates an example for "Saxophone," which includes a player... Which is fascinating, bc it implies that our usage of the word in real practice implies a player, even though the Saxophone is an instrument only. This highlights the difference between our denotative language and our experience of language! https://www.auduno.com/2015/07/29/visualizing-googlenet-classes/ https://www.auduno.com/2015/07/29/visualizing-googlenet-clas... Also, for those curious about the DepthConcat operation, it's described here: https://stats.stackexchange.com/questions/184823/how-does-the-depthconcat-operation-in-going-deeper-with-convolutions-work https://stats.stackexchange.com/questions/184823/how-does-th... Edit: I'll be damned if there isn't something downright Jungian about these prototypes! There are snakes! Man-made objects! Shelter structures! Wheels! Animals! Sexy legs! The connection between snakes and guitar bodies is blowing my mind!