Here we implement solving 2D linear regression via the Cholesky decomposition in TensorFlow.
Given A * x = b, and a Cholesky decomposition such that A = L*L' then we can get solve for x via
- Solving L * y = t(A) * b for y
- Solving L' * x = y for x.
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This branch is 75 commits behind nfmcclure/tensorflow_cookbook:master.
02_Implementing_a_Decomposition_Method
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