Machine Learning, Deep Learning, Neural Networks, Programming, Linear Algebra.
would be no change at all; no matter how many times you kept multiplying the vector and identity matrix! An eigenvector belonging to matrix M is any vector that only gets scaled when it is multiplied with M. More formally, this leads to this equation: The upside down y is called lambda, and it