Table of Contents The Information Bottleneck in Vanilla Seq2Seq The Intuitive Idea of Attention Mathematical Formulation of Attention Deep Dive: Step-by-Step Mathematical Derivations ...

A deep dive into how machines learned to translate languages by mimicking the human mind Table of Contents Introduction: A Translator’s Dilemma in Dhaka Why Simple Approaches Fail The ...

A comprehensive guide that builds understanding from first principles Table of Contents The Problem: Why Do We Need Word Embeddings? The Big Idea: Learning From Context Building Intuition:...

Introduction Imagine you’re standing at the edge of a vast technological frontier. In one hand, you hold complex mathematical equations that describe how our brains might work. In the other, ele...

Creating a joystick-controlled car is an exciting way to learn about wireless communication, motor control, and hardware interfacing. This guide will walk you through the entire process of building...

Introduction Artificial Neural Networks (ANNs) have revolutionized the field of machine learning, enabling breakthroughs in image recognition, natural language processing, and more. At the heart...

NumPy is a fundamental library for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a collection of mathematical functions to operate...

What are Names in Python? In Python, names serve as identifiers referencing various objects such as variables, functions, classes, modules, or other entities within the codebase. They function as ...

Generators are a powerful feature in Python that allow you to create iterators in a simple and memory-efficient way. In this comprehensive tutorial, we’ll dive deep into the world of generators, ex...

Iterators are a powerful concept in Python that allow you to traverse through a sequence of data efficiently. In this tutorial, we’ll dive deep into iterators, understand how they work, and learn h...