Attention Mechanism — A Gentle but Deep Dive
1️⃣ What Is the Attention Mechanism and Why Is It Important?
16 docs tagged with "neural-networks"
View all tagsConverting Words to Features in NLP
🟢 1. One-Hot Encoding
Converting Words to Features in NLP
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Encoders, Decoders, and Attention
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Language AI Tasks (NLP Task Overview)
1. 🧠 Understanding (Analysis)
Language as a Bag-of-Words
Conceptual Walkthrough with “My cat is cute”
Language Modeling with N-Grams and Neural Networks
🧠 Overview
Multihead Attention
🧠 1. What Is Scaled Dot-Product Attention?
Neural Network Forward Pass
🔁 Quick Recap: What is a Neural Network?
Training a Document Classifier
Training a Document Classifier
Transformer Architecture
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Transformers and Attention – Explained with Visuals
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What Are Embeddings
Embeddings are how we turn symbolic data (like words, sentences, images, or even users) into vectors of numbers — in a way that captures meaning, similarity, or structure.
What are Neural Networks?
Understanding Neural Networks, Weights, and Stochastic Gradient Descent
What Is Self-Attention?
Self-attention allows a model to look at all the other words in a sentence (or a document, or code...) and decide how important each of them is for understanding a particular word.
Word Embeddings & Sequence Models in NLP
Word2Vec Overview