It is only me who gets frustrated by networks drawn upside-down (i.e. data flowing from down to up? IMHO it is a poor convetion, mindlessly repeated.
In English we read from top to bottom. Data flows (be it equations or flow charts) typically follow the same convention, so we can read articles in in a coherent way. Even trees (both data structures and decision trees), grow from their roots downwards (so, against their original biological metaphor). At least most of researchers write neural networks from left to right, consistent with English.
In English we read from top to bottom. Data flows (be it equations or flow charts) typically follow the same convention, so we can read articles in in a coherent way. Even trees (both data structures and decision trees), grow from their roots downwards (so, against their original biological metaphor). At least most of researchers write neural networks from left to right, consistent with English.
More of this point: https://www.reddit.com/r/MachineLearning/comments/6j28t9/d_w...