Ravindu PabasaraGradient Descent — How to find the learning rate?Selecting the best (or most ideal) learning rate is very important whenever we use gradient descent in ML algorithms. a good learning rate…Jun 28Jun 28
Ravindu PabasaraTransformers — Beginners GuideA really simple — beginner friendly introduction to transformers.Jun 12Jun 12
Ravindu PabasaraUnderstand Gradient Descent — A Simple Explanation.When we talk about machine learning and optimisation tasks, we can’ t forget gradient descent. Gradient descent is a very important…Jun 5Jun 5
Ravindu PabasaraNumPy Broadcasting — Efficient Array OperationsYears ago I was working on a pet project which incorporated multiple linear regression techniques and came across a term called NumPy…Jun 3Jun 3
Ravindu PabasaraAncillae : Forerunner AI, How far along are we?Anyone who knows Halo, the video games or Lore, must’ve come across forerunners at least once.May 31May 31
Ravindu PabasaraFederated Learning -AI meets PrivacyFederated learning is a branch of machine learning which takes a more decentralised approach. Instead of a one big model training from raw…May 29May 29
Ravindu PabasaraUsing NLTK to build a simple sentiment analyzerNLTK, which stands for Natural Language Toolkit, is a really popular open-source Python library specifically designed for tasks related to…Apr 10Apr 10
Ravindu PabasaraSentient AI - A “What if” approachArtificial Intelligence is now rapidly exceeding its horizons toward almost every corner of human civilization, This article is taking a…Feb 3Feb 3
