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JPJidhun Puthuppattujidhun.hashnode.devAug 29, 2025 · 5 min read

Model Deployment Tools in Data Science and Machine Learning

Building a predictive model is only half the journey in data science. For real-world impact, models must be deployed into production environments where they can generate predictions at scale and integrate with business applications. Deployment involv...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 21, 2025 · 9 min read

The Transformer Implementation in TensorFlow.js

What is the Transformer Model? The Transformer model is a groundbreaking neural network architecture introduced in the 2017 paper "Attention Is All You Need" by Vaswani et al. It revolutionized natural language processing (NLP) and has since become t...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 21, 2025 · 19 min read

Transformer Example: Meaningful Training

To make the Transformer implementation more meaningful, we will extend the example to handle a larger dataset , use a bigger vocabulary , and evaluate the model on unseen data . This will demonstrate the model's ability to generalize rather than simp...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 21, 2025 · 4 min read

Transformer Example: Hello World

To make the Transformer model more practical, let's create a real-world scenario where we represent and process a simple sentence like "hello world" in TensorFlow.js. This involves tokenizing the input text, embedding it into numerical representation...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 21, 2025 · 10 min read

Transformer Example: Hello World with Meaningful Prediction

To make the Transformer model predict something meaningful, we need to train it on a dataset. For simplicity, let's use a small, synthetic dataset where the input is a sequence like "<START> hello world <END>" and the target is a slightly modified ve...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 21, 2025 · 7 min read

Enhanced Transformer Implementation in TensorFlow.js

The "enhanced Transformer implementation" refers to an improved version of the Transformer model that incorporates key features missing from a basic implementation, such as positional encoding (to account for token order), masking (to handle padding ...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 20, 2025 · 15 min read

TensorFlowJS: Making Predictions from 2D Data

How to develop a basic TensorFlowJS project? The following tutorial is a simplified guide for running the JavaScript version of TensorFlow on CodePen platform based on the original codelab guide https://codelabs.developers.google.com/codelabs/tfjs-tr...

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MMMohamad Mahmoodhashnotes.hashnode.devMar 20, 2025 · 6 min read

TensorFlowJS : Introduction To TensorFlowJS For JavaScript Developers

What is TensorFlowJS? TensorFlow.js is an open-source, hardware-accelerated JavaScript library that enables developers to build, train, and deploy machine learning models directly in web browsers and Node.js environments, allowing for the creation of...

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VKVirgil Kingexplorationbias.hashnode.devNov 28, 2024 · 3 min read

Introduction

Hi. I plan to use this blog to document my personal project to build a platform for playtesting board games against AI opponents, starting with the game Kingdomino. A primary motivation for this project is to learn a bunch of new-to-me tools like Typ...

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SNSujit Nirmalblackshadow.hashnode.devOct 5, 2024 · 3 min read

Mastering Neural Networks with TensorFlow: A Comprehensive Guide

Introduction: Welcome to the world of neural networks! In this blog post, we'll delve into the fascinating realm of neural networks, focusing on their implementation using TensorFlow. Whether you're a beginner or have some experience, this guide will...

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Trending tags this week

Model Deployment Tools in Data Science and Machine Learning

The Transformer Implementation in TensorFlow.js

Transformer Example: Meaningful Training

Transformer Example: Hello World

Transformer Example: Hello World with Meaningful Prediction

Enhanced Transformer Implementation in TensorFlow.js

TensorFlowJS: Making Predictions from 2D Data

TensorFlowJS : Introduction To TensorFlowJS For JavaScript Developers

Introduction

Mastering Neural Networks with TensorFlow: A Comprehensive Guide