Gradient descent is an iterative algorithm that tries to minimize a function by moving in the direction of the steepest descent. The function to be minimized is usually the loss function ...

Gradient Descent is a widely used optimization algorithm in machine learning and deep learning to minimize the error (or loss) of a model. In simpler terms, it helps ...

The aim of the actor is to degrade the performance of the model by feeding it strategically crafted noise based on the gradients of the model (for gradient based attacks i.e. white box attacks ...

Every time the chef takes a bite of the pizza, he assesses the flavor and adjusts the ingredients accordingly. This is similar to how gradient descent adjusts the parameters of a machine learning ...