Layer-Wise Relevance Propagation – NN Explainability in-depth with 5 main rules
The input data plays an important role in generalising the learning of a machine learning model . LRP helps to decompose the deep NN down to the relevance score of…
Human Brain vs Deep Learning – the very beginning
Overview This article shares the very basic operations of a neural network and how it is simulating human brain to a large extent as well as what are the shortcomings…
Eigenvalues and Eigenvectors for AI
What is Eigenvalues and Eigenvectors? Eigenvectors are unit vectors with length/magnitude is equal to 1. These are special vectors, given a transformation matrix M. Eigenvalues are coefficients applied to eigenvectors that give the…