LioNets: Local Interpretations Of Neural Networks through Penultimate Layer Decoding
LioNets (Local Interpretations Of Neural Networks through Penultimate Layer Decoding) LioNets is a methodology on providing explanations for a neural network's decisions, in a local scope, through a process that actively takes into consideration the neural network's architecture on creating an instance's neighbourhood, that assures the adjacency among the generated neighbours and the instance.
Additional information: In this asset, the code of LioNets is supporting a python notebook, which presents the technique applied to two different binary classification problems (Hate Speech and SMS Spam detection).
Updated version: LioNets V2.0 is also available on this platform. It provides better explanations, more examples on textual and time-series datasets.