How to Find the Stinky Parts of Your Code (Part II)

There are more code smells. Let’s keep changing the aromas. We see several symptoms and situations that make us doubt the quality of our development. Let's look at some possible solutions.

Neural Networks (Part 2)

Tip: You should have good understanding of what is supervised machine learning, what is training data and testing data. (Also, I prefer to read the first part of this topic.

How to Find the Stinky Parts of Your Code (Part I)

The code smells bad. Let’s see how to change the aromas. In this series, we will see several symptoms and situations that make us doubt the quality of our developments. We will present possible solutions. Most of these smells are just hints of something that might be wrong. They are not rigid rules.

Understanding a Neural Network through scratch coding in R; A novice guide

I will try to slightly unmask this black box and we will take a gentle dive into the mathematical formalism of Neural Network incorporating gradient descent optimizer and comprehensively try to build our own.

A Neural Network implementation (Part I)

How to build a Neural Network from Scratch with Numpy! (Part I). Feedforward implementation using only Numpy! Neural Networks are the heart of Deep Learning.