Gradient Descent, Data Science, Data Visualization, Deep Learning, Machine Learning.
point or a small subset of data points, it can lead to more noisy updates compared to BGD. This can make the convergence slower and lead to oscillations or instability in the optimization process. To mitigate this problem, the learning rate in SGD is often reduced over time to smooth out the