Deep Learning Series, P1: Basics of Neural Networks and Understanding Gradient Descent

This post consists of the following two sections: Section 1: Basics of Neural Networks Section 2: Understanding Backward Propagation and Gradient Descent Section 1 Introduction For decades researchers have been trying to deconstruct the inner workings of our incredible and fascinating brains, hoping to learn to infuse a brain-like intelligence into machines. For example, when... Continue Reading →

Machine Learning Algorithms 101

This blog post is for the newbies who want to quickly understand the basics of the most popular Machine Learning algorithms. I am assuming that you have read the previous article regarding types or categories of algorithms. If not, I would suggest you to read that first. In this quick tour you will learn about:... Continue Reading →

Create a website or blog at

Up ↑