Optimizers in Neural Network
Optimizers for Neural Network, Standard Optimizers, Adaptive Optimization Algorithms, Usage with keras optimizers
Tag #CostFunction
Linear Regression — Part II — Gradient Descent
Gradient descent is an optimization algorithm used to minimize a cost function (i.e. Error) parameterized by a model. We know that Gradient means the slope of a surface or a line. This algorithm involves calculations with slope. To understand about Gradient Descent, we…