Stochastic Systems | Brave Learn

Performance comparison of gradient descent (GD) and stochastic gradient descent (SGD) method on MNIST dataset

Does SGD perform better than GD? Read out more to see its effect on MNIST dataset

Wanted to implement SGD on MNIST? Read more to find out!

Earlier we discussed the introduction of a continuous random variable and cumulative distribution...

The problem with Discrete random variables was they can’t be used for continuous data. In...

A few practice problems related to Probability theory are given here. These problems are adapted...

Random variables are one of the foundational topic in understanding probability. Read more to find out!

In Probability theory, we came across some problems in which it is difficult to compute...

This article is in continuation of the previous article: Introduction to Probability As we defined...

These problems and Proofs are adapted from the textbook: Probability and Random Process by Scott...

In most of the engineering career, we encounter some signals in the form of noise, disturbance,...