Using the Matrix Inverse Method Here we implement solving 2D linear regression via the matrix inverse method in TensorFlow. Model Given A * x = b, we can solve for x via: (t(A) * A) * x = t(A) * b x = (t(A) * A)^(-1) * t(A) * b Here, note that t(A) is the transpose of A. Graph of linear fit
