What is Stochastic Gradient Descent (SGD) and why is it important?

What is Stochastic Gradient Descent (SGD) and why is it important?



Same as Gradient Descent but uses partial to train each time. Parameter is mini-batch size. Theoretically, even one sample can be used for training.

Popular posts from this blog

After analyzing the model, your manager has informed that your regression model is suffering from multicollinearity. How would you check if he's true? Without losing any information, can you still build a better model?

Is rotation necessary in PCA? If yes, Why? What will happen if you don't rotate the components?

What does Latency mean?