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...

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:...