Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks.
guarantees even more speed. The only difference in the Nesterov Accelerated Gradient (NAG) is that instead of using the partial differential of loss with respect to θ​ (∇J(θ​)) it uses the partial differential of the entire momentum vector (∇J(θ​+βm)) m= βm — α∇J(θ​+βm) θ​= θ​ + m The addition of