Stochastic Gradient Descent Algorithm With Python and NumPy
Stochastic gradient descent is an optimization algorithm often used in machine learning applications to find the model parameters that correspond to the best fit between predicted and actual outputs. It’s an inexact but powerful technique.
Stochastic gradient descent is widely used in machine learning applications. Combined with backpropagation, it’s dominant in neural network training applications.
Basic Gradient Descent Algorithm
The gradient descent algorithm is an approximate and iterative method for mathematical optimization. You can use it to approach the minimum of any differentiable function.
Although gradient descent sometimes gets stuck in a local minimum or a saddle point instead of finding the global minimum, it’s widely used in practice. Data science and