Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Why do you think that https://github.com/malmaud/TensorFlow.jl is a good alternative to FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
Why do you think that https://github.com/malmaud/TensorFlow.jl is a good alternative to FiniteDiff.jl