A series on automatic differentiation in Julia. Part 4 extends part 3 to handle maps, getfield and anonymous functions. It creates a generic gradient descent...| liorsinai.github.io
A series on automatic differentiation in Julia. Part 2 uses metaprogramming to generate a modified (primal) forward pass and to reverse differentiate it into...| liorsinai.github.io
A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules.| liorsinai.github.io