Many contemporary applications, such as natural language processing and image identification, rely heavily on machine learning models. Finding the ideal collection of parameters to minimize a given loss function is the goal of optimization, adam optimizer which is a crucial step in the proper training of these models. Gradient descent, a family of algorithms intended […]
