Gradient Descent Gradient descent is a first order optimization method that means that it uses the first derivate to find local minuma, in more detail it uses partial derivate to find it. To start, ...

In this project, a basic implementation of gradient descent has been developed using Python. The implementation includes the following components: Objective Function: The specific objective function ...

The article aimed to demonstrate how we compile a neural network by defining loss function and optimizers. In this article, we also discussed what gradient descent is and how it is used. At last, we ...

Consider the case where the gradient is positive: The local min will be to the left. Therefore the rule must be true, where ΔW is the change in W, and Wnew = Wold + ΔW Now think about the other case, ...