Gradient Descent: The Stochastic Update

Understand how to implement stochastic gradient descent to update weights and biases in simple perceptron models. Explore key concepts like forward propagation, error calculation, and parameter updates using NumPy. This lesson guides you through the coding process and mathematical foundations to optimize perceptron training.